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New architecture to increase situational awareness and safety in GPS-compromised environments.

[Mendon, UT] Autonomous Solutions, Inc. (ASI) has been awarded a Phase Two grant from the U.S. Army Combat Capabilities Development Command Ground Vehicles Systems Center (formerly TARDEC). Based on the progress achieved during Phase One, ASI was chosen to continue development of a Deep Learning (DL) architecture that will support sensor fusion in environments with limited, or no, GPS. Specifically, ASI is making rapid advancements in triangulating data inputs from traditional cameras, LiDAR, and radar to feed machine learning that will provide clearer visibility, predictability, and safety in environments where GPS integrity is restricted or where GPS cannot be utilized at all.
 
“The objective is to create clearer real-time understanding of an autonomous vehicle’s surroundings, especially when navigating through compromised weather, environments, or conditions,” said Jeff Ferrin, Chief Technology Officer at ASI. “As self-driving vehicles advance, especially for industrial use, the need to utilize machine learning, deep learning, and other artificial intelligence algorithms to improve performance in challenging environments only increases. Therefore, the success of this project is critically important – not only for the direct application within the U.S. military, but for applications across ASI’s multiple lines of business.”
 
In the case of a deep learning architecture that fuses information from LiDAR, radar and cameras, the innovation could not come soon enough for some industries – especially mining.
 
“As global mining operations re-evaluate orebody economics and redesign mines as a result of automation, mining operations will become increasingly complex and dependent on technology. By association, the need for advanced visibility and situational awareness increases exponentially,” explains Chris Soccio, General Manager of the Ferrexpo Yeristovo operations. “In locations where GPS or communications networks are compromised or unreliable, the ability to leverage machine learning fed by three diverse input methods becomes not only immediately desirable, but essential to ensure system redundancy for safe and efficient mining.”
 
ASI expects to complete the Phase Two assignment by September 2022.



SBIR Phase Two
 

About ASI

 
Autonomous Solutions, Inc. (ASI) is a world leader in industrial vehicle automation. ASI serves clients across the world in mining, agriculture, automotive, government, and manufacturing industries with remote control, teleoperation, and fully automated solutions from its headquarters and 100-acre proving ground in northern Utah.



Mendon Utah – ASI Mining and MS4M, a provider of real-time mine management and optimization solutions, have entered into an agreement to ensure compatibility between ASI Mining’s Mobius? Platform and MS4M’s ControlSense? fleet management system (FMS) software for autonomous vehicles.

 

ASI Mining’s Traffic Management System (TMS) is designed to work with a variety of FMS providers.? This latest compatibility announcement will give existing MS4M users the ability to implement ASI Mining’s Autonomous Haulage System (AHS) using an open FMS/TMS interface. Future MS4M customers will also have assurance of a pathway to AHS by leveraging this same interface.

 

MS4M’s rapidly expanding client base includes 11 sites worldwide with primary production fleets ranging from 20 to over 100 units. As each of these sites consider future plans for autonomous operations, this interface will play a critical role in their ability to extend the benefits of autonomous functionality using Mobius as an autonomy platform. In addition, mines can further extend functionality via the growing list of Mobius-supported partner OEM vehicles and equipment.

 

“ASI Mining is pleased to work with MS4M and offer greater interoperability for all MS4M customers wishing to deploy automation solutions without having to replace the FMS, as is common with other AHS providers,” said Drew Larsen, Director of Business Development, ASI Mining.

 

“We are excited by the opportunity to collaboratively support OEM agnostic solutions that enable the deployment of mixed autonomous fleets within the same operation,” said Wilder Pando, CEO, MS4M. “Integration of our world-class mine management and optimization suite of products with ASI Mining’s traffic management and onboard autonomy will provide mines with a significant degree of flexibility and optionality as automation migration paths are developed and implemented.? Beyond supporting a staged approach in the presence of mixed fleets, this will mitigate the dependency on a single solution provider.”

 

ASI Mining looks forward to working with MS4M to expand automation options for mine operators seeking to extend their capabilities. This collaboration gives mine operators a robust OEM-independent TMS and FMS combination.

 

As mining technology matures, an increasing number of mines are seeking ways to automate on their own terms, without the requirement to replace infrastructure or fleets ahead of schedule. Interfaces between systems from ASI Mining and MS4M help make that possible.

 

Mine operators interested in an OEM-independent approach using solutions from MS4M and ASI Mining can learn more at ASIMining.com.

 



About ASI Mining / ASI

ASI Mining is partially owned by Epiroc, which acquired 34% of the company in 2018. ASI Mining is recognized for its products and solutions in robotics and autonomous vehicle technology including autonomous haulage, semi-autonomous blasting, drilling, dozing, loading and other applications. In addition to providing solutions for some of the world’s largest mining corporations, ASI Mining is also an automation partner for several global mining vehicle manufacturers. ASI Mining’s majority parent (66% shareholder), Autonomous Solutions, Inc. (ASI) is a world leader in industrial vehicle automation. ASI serves clients across the world in the mining, agriculture, automotive, government, and manufacturing industries with remote control, teleoperation, and fully automated solutions from its headquarters and 100-acre proving ground in northern Utah. Learn more at www.www.ouidzine.com.






Robotic Arm Integration for Autonomous Break System
 
Video of the unmanned yard truck solution: https://youtu.be/vZzrJJknpOU
 
Mendon, Utah; Mountain View, California; and Benschop, Netherlands – A new fully unmanned yard truck solution combines the expertise of four companies: Autonomous Solutions, Inc. (ASI), a world leader in vehicle automation; Phantom Auto, the leading provider of remote communication software for unmanned vehicles; FANUC America Corporation, the world leader in robotics, CNC systems, and factory automation; and Terberg, a world renowned truck manufacturer.
 

 
ASI’s Mobius? software gives operators real-time awareness and control of a fleet of unmanned trucks, each of which is driven by ASI’s proven autonomous vehicle technology. Phantom Auto’s remote communication layer provides a reliable link between the Mobius software and the trucks over any network, enabling monitoring, tele-assistance, and tele-driving. The Mobius application gets orders from an operator or management system, plans a path for a truck to pick up and drop off a trailer, and sends the plan to the truck. The Terberg yard truck, with automation-ready drive-by-wire electronic controls, is driven by ASI software to the trailer or dock. There, a FANUC robotic arm uses proprietary technology to connect or disconnect the pneumatic brake line to the trailer, making this a truly end-to-end solution. By making high-quality, real-time control possible across broad geographic coverage areas, ASI’s unmanned yard truck solution increases its customers’ vehicle operational efficiency and operational design domains.
 
Autonomous Glad Hand
 
The unmanned yard truck solution is:

  1. vehicle-agnostic, so customers can work with their existing fleet and preferred yard truck brand;
  2. hardware-agnostic and easy to integrate, so that customers can use the solution without overhauling their vehicle hardware architecture; and
  3. requires no modifications to trailers in order to obtain air line connections.

 


“With both Phantom and ASI’s technology combined into one product, we believe we have the most scalable end-to-end solution in the market, enabling our yard truck customers to get out of a sandbox environment and into actual deployments,” said Mel Torrie, founder and CEO of ASI. “Phantom is excited to partner with one of the top autonomy providers to continue deploying unmanned vehicles across the logistics market,” said Shai Magzimof, founder and CEO of Phantom Auto. Added Elliot Katz, co-founder of Phantom Auto: “With our yard truck solution, we are proving once again that autonomy combined with remote operation can get unmanned vehicles deployed today.”
 
About ASI
 
ASI is a world leader in industrial vehicle automation. ASI serves clients around the world in the mining, agriculture, automotive, government, and manufacturing industries, with fully automated solutions from its headquarters and 100-acre proving ground in northern Utah.
 
About Phantom Auto
 
Founded in 2017 in Silicon Valley by a team of real-time networking and robotics experts, Phantom Auto specializes in the operation of unmanned vehicles with customers throughout the world. Phantom Auto’s software enables a human to remotely tele-monitor, tele-assist, and/or tele-drive fleets of unmanned vehicles from up to thousands of miles away. For more information on Phantom Auto, please visit: https://phantom.auto/
 
About Terberg Corporation
 
Founded in 1869, Terberg has a worldwide presence operating in over 120 countries worldwide and are supported by a network of international distributors and Terberg branches. Terberg focusses on innovation and is the trendsetter in the yard shifting market. For more information about Terberg, please visit: https://www.terbergbenschop.nl/en/
 
About FANUC America Corporation
 
FANUC America Corporation is a subsidiary of FANUC CORPORATION in Japan, and provides industry-leading robotics, CNC systems, and factory automation. FANUC’s innovative technologies and proven expertise help manufacturers in the Americas maximize productivity, reliability and profitability. For more information please visit: https://www.fanucamerica.com


Roy Hill, Epiroc, and ASI Mining in Western Australia

 

Mendon Utah – ASI Mining has signed a subcontract with Epiroc to supply its autonomous haul truck solution to Roy Hill in Western Australia. This signing follows the recent award by Roy Hill to Epiroc, a global leader in mining equipment and drill automation, as the prime contractor for the project.

 

For its part, ASI Mining will supply the technology and systems to convert Roy Hill’s mixed fleet of 77 haul trucks from manned to autonomous operation. The project also includes integration with Fleet and other Mining Management Systems. For vehicle conversions to Drive-by-Wire capability, ASI utilizes its partner Danfoss, a major supplier of hydraulics and electronically controlled components for haul trucks, and recognized market-leading supplier of mobile systems to many mining equipment OEMs.

 

“Being chosen as the technology provider to Roy Hill is a testament that the market is eager to establish a more open and interoperable supplier in the AHS space, especially on retrofits, which will provide more flexibility than the traditional OEM offerings”, said Patrick Hald, General Manager of ASI Mining.

 

 



 

The project will focus on safe and highly productive operations and will leverage ASI’s Mobius? to achieve an integration platform that can continue to scale for future applications. The project will consist of a phased implementation, with testing and production verification of up to eight trucks undertaken in the initial phase prior to the second phase of full fleet expansion from mid-2021.

 

For further information about the project, and images of the signing ceremony, please refer to the joint Roy Hill, Epiroc and ASI Mining media release located?here.

About ASI Mining / ASI

ASI Mining is partially owned by Epiroc, which acquired 34% of the company in 2018. ASI Mining is recognized for its products and solutions in robotics and autonomous vehicle technology including autonomous haulage, semi-autonomous blasting, drilling, dozing, loading and other applications. In addition to providing solutions for some of the world’s largest mining corporations, ASI Mining is also an automation partner for several global mining vehicle manufacturers. ASI Mining’s majority parent (66% shareholder), Autonomous Solutions, Inc. (ASI) is a world leader in industrial vehicle automation. ASI serves clients across the world in the mining, agriculture, automotive, government, and manufacturing industries with remote control, teleoperation, and fully automated solutions from its headquarters and 100-acre proving ground in northern Utah. Learn more at www.www.ouidzine.com.





Roy Hill Plots New Path For End-to-End Automation

Roy Hill has signed a contract with Epiroc to deliver their automated haul truck solution.

Leading global mining equipment and services provider Epiroc, in partnership with automation specialist ASI Mining, is set to convert Roy Hill’s mixed fleet of 77 haul trucks from manned to autonomous use.

Epiroc/ASI Mining will meet Roy Hill’s requirements to deliver a safe, interoperable solution for its truck fleet. The solution will have the ability to expand to other mining vehicle types and manufacturers, as well as capability to integrate with existing and future Roy Hill systems. As part of this project Epiroc/ASI Mining will work closely with Hitachi/Wencomine on truck conversion and integration of Roy Hill’s existing Wenco fleet management system.

“Roy Hill is well positioned to transition to automation. Our teams on site and in our Remote Operations Centre (ROC) in Perth have demonstrated a clear capacity to deliver complex projects, sustainable change and operational excellence with the recent success of the autonomous drill program and fleet optimization initiatives. Now is the right time to bring the combined expertise of Roy Hill, Epiroc, ASI Mining and Wenco together to convert our haul truck fleet,” said Roy Hill CEO Mr Barry Fitzgerald.

“Our Chairman, Mrs Gina Rinehart, and our owners Hancock Prospecting, Marubeni, POSCO and China Steel Corporation, have led this project from the start in the interests of staff safety and sustainable productivity. Their vision has set us a challenge to seek out partners who have an aligned tenacity and commitment to bring viable autonomous solutions to the table, and I look forward to realising the significant safety and productivity benefits that will come with this shared goal,” he added.

Roy Hill’s people are at the forefront of the decision to undertake truck automation, with Mr. Fitzgerald confirming safety as a key driver of the project. The commitment to people also extends to the effective transition of impacted operators to other roles. In addition, Mr Fitzgerald anticipated a range of operational benefits including increased productivity of the fleet.

“Care is one of our core values, with safety at the heart of everything we do. Roy Hill’s Smart Mine program is driving innovation across our business, and the automation of our haulage fleet is central to delivering safety and production improvements,” Mr Fitzgerald added.



Having delivered major automation projects across the globe, Epiroc and ASI Mining will bring together a highly credentialled delivery team based in West Australia who will leverage the know-how of a worldwide team of experts.

“Epiroc is proud to collaborate with Roy Hill, ASI Mining and other partners to automate Roy Hill’s haul truck fleet, boosting safety and productivity for a crucial aspect of its mining operation,” says Helena Hedblom, Epiroc’s Senior Executive Vice President Mining and Infrastructure. “This is a very strong example of how automation will take a mining company’s operation to the next level.”

ASI Chief Executive Officer, Mel Torrie, said “ASI Mining is pleased to partner with all key suppliers including mining technology integrator Sedna to deliver an AHS solution at Roy Hill – a world-class major iron ore operation. As a manufacturer-agnostic solutions provider, ASI Mining looks forward to highlighting the opportunities presented by an interoperable approach to autonomous mining.”

Roy Hill has carefully considered the impact of this project on its people, with re-skilling and re-deployment plans to assist operators’ transition to new roles within the business.

“Our people are the driving force behind our success. We are committed to an automation journey that creates an environment in which our people can develop new skills critical to the workforce of the future. Our focus is on setting people up to succeed and further contribute to the Roy Hill community,” Mr Fitzgerald said.

The project will see a phased implementation, with testing and production verification of up to eight trucks undertaken in the initial phase prior to the second phase of full fleet expansion from mid-2021.

About ASI

Autonomous Solutions, Inc. (ASI) is a world leader in industrial vehicle automation. ASI serves clients across the world in the mining, agriculture, automotive, government, and manufacturing industries with remote control, teleoperation, and fully automated solutions from its headquarters and 100-acre proving ground in northern Utah.






Autonomous Solutions, Inc. (ASI) has improved an algorithm for autonomous vehicles to detect drop-offs and other large negative obstacles often found in the environments in which automated off-road vehicles operate.

“ASI has developed a method for mapping point cloud occlusions in real-time,” said Taylor Bybee, Perception Tech Lead at ASI. “Which provides additional accuracy and safety when integrated into an autonomous vehicle obstacle detection and avoidance system.”

For safe navigation through an environment, autonomous ground vehicles rely on sensor data representing 3D space surrounding the vehicle. Often this data is obscured by objects or terrain, producing gaps in the sensor field of view. These gaps, or occlusions, can indicate the presence of obstacles, negative obstacles, or rough terrain.

Occlusions can be defined as a blockage which prevents a sensor from gathering data in a location. For example, occlusions can be seen as shadows in LiDAR data.

Because sensors receive no data in these occlusions, sensor data provides no explicit information about what might be found in the occluded areas. Information about the occlusions must be inferred from using an occlusion mapping algorithm to provide the navigation system with a more complete model of the environment.

“While sensor data itself doesn’t tell us what’s in the occluded areas, occlusions can represent negative obstacles like drop-offs or areas behind large obstacles,” said Jeff Ferrin, CTO at ASI. “It’s important to identify these areas for obstacle detection and avoidance to work properly.”

Application of this new technology can be useful in settings with dump edges at mine sites, steep road edges, canals, ditches, hills or stairs for indoor or urban environments.



The occlusion mapping algorithm has three main components.

The first is a sensor field of view (FOV) model that describes what obstacles the sensors are expected to detect. This component is designed for point cloud sensors such as 3D LiDAR, Flash LiDAR, Structured Light, and Stereo Cameras.

Second, an occlusion map is maintained and updated using the sensor FOV model and current sensor data to provide a probabilistic estimate on areas that have not been detected within the sensor FOV.

The third component is the integration of the occlusion map into an autonomous vehicle navigation system. It is designed to work with and complement existing obstacle detection and avoidance systems.

About ASI

Autonomous Solutions, Inc. (ASI) is a world leader in industrial vehicle automation. ASI serves clients across the world in the mining, agriculture, automotive, government, and manufacturing industries with remote control, teleoperation, and fully automated solutions from its headquarters and 100-acre proving ground in northern Utah.






Ferrexpo haul truck converted to full autonomy by ASI Mining

ASI Mining, a subsidiary of Autonomous Solutions, Inc. (ASI), has started work on a project in Ukraine to retrofit and automate a fleet of 15 haul trucks at the Ferrexpo Yeristovo Mine (FYM).

“This project is one of the first major autonomous haulage deployments in Eastern Europe. It represents a major milestone for the accessibility of automation at sites across the world,” said Patrick Hald, General Manager, ASI Mining. “Autonomous mining is no longer a luxury available only to the largest mines.”

FYM and ASI Mining successfully completed an initial test on October 21, 2019 by converting, and autonomously operating, a 793D haul truck. Ferrexpo plans to expand automation to a total of 15 trucks within the next two project phases, subject to market conditions and cash flows.

Alexander Tubaltsev, Chief Miner at Ferrexpo Yeristovo Mining, said “We selected ASI Mining because it is one of the world’s leading providers of robotics and automation and has already completed a significant number of successful deployments with major corporations in the mining and automotive industries. Ferrexpo is very proud to be the first to lead this initiative, not only in Ukraine, but also as the first open pit mine in Europe to do so.”



FYM anticipates the autonomous mining fleet will deliver significant safety benefits to employees, particularly by eliminating fatigue-induced accidents. The improved safety benefits will also be complemented by expected improvements in productivity and better control over the quality of the company’s ore mix.

ASI’s Mobius? Haulage A.I. will be a key component in the implementation and operation of the project. Mobius leverages advanced multi-vehicle command and control software to set up and manage a coordinated system of haul trucks. The Mobius Haulage Platform manages autonomous traffic, coordinates manned or unmanned vehicles and regulates the haul cycle in the most efficient way possible.

By employing Mobius software at the Yeristovo mine, Ferrexpo anticipates improvements in utilization, along with increased safety and productivity gains.

About ASI Mining

ASI Mining is partially owned by Epiroc, which acquired 34% of the company in 2018. ASI Mining is recognized for its products and solutions in robotics and autonomous vehicle technology including autonomous haulage, semi-autonomous blasting, drilling, dozing, loading and other applications. In addition to providing solutions for some of the world’s largest mining corporations, ASI Mining is also an automation partner for several global mining vehicle manufacturers. Learn more at www.www.ouidzine.com/mining.

About Ferrexpo

Ferrexpo is a Swiss headquartered iron ore company with assets in Ukraine. It has been mining, processing and selling high quality iron ore pellets to the global steel industry for 40 years. Ferrexpo’s resource base is one of the largest iron ore deposits in the world. In 2018, the Group produced 10.6 million tonnes of pellets, a 2% increase compared to 2017, ranking it as the 3rd largest exporter of pellets to the global steel industry with a market share of approximately 8.5%. Ferrexpo has a diversified customer base supplying steel mills in Austria, Germany, Japan, South Korea, Taiwan, China, Slovakia, the Czech Republic, Turkey and Vietnam. Ferrexpo has a premium listing on the main market of the London Stock Exchange under the ticker FXPO. For further information, please visit www.ferrexpo.com.






Autonomous Solutions, Inc. (ASI) and Danfoss, a market leader in components and software for automation, have entered into an agreement to collaborate on technology for autonomous vehicles.

Danfoss products have long provided critical links from ASI’s software and processors to vehicle control systems and hardware via electrical, network, and hydraulic interfaces. The PLUS+1? platform has been particularly useful to ASI in automating vehicles for agriculture, mining, construction, and material handling applications.

Mel Torrie, President and CEO of ASI, says, “ASI has been using the best-in-class Danfoss components over the last 20 years to support our driverless vehicle development with the world’s leading vehicle OEMs. This new partnership will ensure manufacturers have the needed support to streamline their efforts in making autonomous industrial vehicles a mainstream reality.”

ASI looks forward to working with Danfoss to bring exciting new capabilities to a broader market and a wider range of applications, with world-class support for innovative new offerings. As the adoption of autonomous vehicle technology expands, more potential customers are seeing ways for automation to improve their products and services. This partnership will enable ASI and Danfoss to provide the building blocks for all kinds of implementations not viable in the past.

“This partnership demonstrates our ambition to invest in autonomy and be the innovative partner for our customers. It’s a promising partnership and we are excited about the potential in vehicle automation,” says Kim Fausing, President and CEO of Danfoss.



About ASI

Autonomous Solutions, Inc. is a world leader in vendor independent vehicle automation systems. From our headquarters and 100-acre proving ground in northern Utah, we serve clients in the mining, agriculture, automotive, construction, material handling, government, and manufacturing industries with remote control, teleoperation and fully automated solutions. ASI’s vehicle automation products can be found in companies and government agencies throughout the world. Read more about us at www.www.ouidzine.com

About Danfoss

Danfoss engineers advanced technologies that enable us to build a better, smarter and more efficient tomorrow. In the world’s growing cities, we ensure the supply of fresh food and optimal comfort in our homes and offices, while meeting the need for energy-efficient infrastructure, connected systems and integrated renewable energy. Our solutions are used in areas, such as refrigeration, air conditioning, heating, motor control and mobile machinery. Our innovative engineering dates back to 1933 and today Danfoss holds market-leading positions, employing 27,000 people and serving customers in more than 100 countries. We are privately held by the founding family. Read more about us at www.danfoss.com.






Autonomous vehicle sensor screen shot

Autonomous Solutions, Inc. (ASI) has been awarded a SBIR Phase I grant from the U.S. Army Combat Capabilities Development Command Ground Vehicles Systems Center (formerly TARDEC) to develop a Deep Learning (DL) architecture that will support sensor fusion in environments with limited, or no, GPS.

“Environmental sensing today typically includes cameras, LiDAR and radar,” said Jeff Ferrin, CTO of ASI. “Each of these devices has a specific purpose, but not all of them work well in every situation. For example, cameras are great at collecting high-resolution color information, but do not provide much useful information in the dark.”

In addition to the challenges faced by cameras in poorly lit or degraded visual environments, LiDAR and radar sensors also have limitations. LiDAR performs well in most light conditions but may yield false positives in heavy rain, fog, snow or dust, due to its use of light spectrum wavelengths. Radar usually penetrates these degraded visual environments, but often lacks spatial resolution.

“ASI’s goal is to design a deep learning architecture that fuses information from LiDAR, radar and cameras,” said Ferrin. “We plan to build upon machine learning techniques we have already developed for LiDAR data.”



Deep learning is a branch of artificial intelligence and machine learning that allows valuable information to be extracted from large volumes of data. Cameras are often used in deep learning models because of their high output of information in regularly sampled data structures.

The case is different for LiDAR and radar. Naturally, these two sensor types do not provide regularly sampled data, making it difficult to formulate problems using current deep learning frameworks. This gap in current research efforts – deep learning for LiDAR and radar – is the focus of this grant.

Improved utilization of data from multiple devices can paint a more accurate picture of a vehicle’s surroundings, keeping it safer and making it more efficient. The details of the grant solicitation state, “It is anticipated that harnessing a wide variety of sensors altogether will benefit the autonomous vehicles by providing a more general and robust self-driving system, especially for navigating in different types of challenging weather, environments, road conditions and traffic.”

“In the last few years, we have seen a growing need in the world of robotics to advance industry capabilities in machine learning, deep learning, and other artificial intelligence algorithms to improve performance in these challenging environments,” said Ferrin.

ASI is required to demonstrate the feasibility of the deep learning architecture in a simulation environment, including a road following system that controls an autonomous vehicle, on a course with obstacles and a degraded visual environment.

About ASI

Autonomous Solutions, Inc. (ASI) is a world leader in industrial vehicle automation. ASI serves clients across the world in the mining, agriculture, automotive, government, and manufacturing industries with remote control, teleoperation, and fully automated solutions from its headquarters and 100-acre proving ground in northern Utah.

To learn more about ASI’s work with sensor fusion technology, visit the company’s Research and Development page.






Autonomous Tug

APRIL 9, 2019

Mendon, Utah – Autonomous Solutions, Inc. (ASI), the industry leader for practical vehicle autonomy, has introduced a new GPS-denied navigation solution for vehicle positioning.

This solution is ideal where satellite-based navigation is not an option, such as near buildings, under trees, near radio interference, and indoors. Historically, indoor positioning has relied on infrastructure installations such as magnets or wires in the floor or laser reflectors around a perimeter. These methods only allow travel on installed routes or only work if there’s nothing blocking a vehicle’s line of sight to the reflectors. Many new robotics technologies, vehicles, and applications have been waiting for a good positioning system that works without access to traditional satellite navigation systems and is free from the constraints imposed by indoor positioning infrastructure.

ASI’s GPS-denied navigation technology has been developed and tested in operational real-world facilities, including the following example applications. Autonomous floor-cleaning robots operate in a retail shopping environment where shelving remains the same, but smaller displays may be moved around, and in stockroom or warehouse areas. The routes followed by security robots often include going into and out of buildings. Material handling in a constantly changing package handling facility poses a particularly difficult problem; ASI’s technology has been designed to handle constantly changing environments, providing unmatched system uptime, flexibility, and ease of deployment. The system has also been tested in underground mining, where the automation technologies deployed in surface mines need only an alternative positioning system to make them feasible underground.



ASI now has a team of engineers dedicated to developing and fielding Facility Robotics technologies for use in cleaning, security, material handling, and similar applications. As the team that developed ASI’s GPS-denied navigation solution, they are the ideal partners to help bring to market exciting new products to assist facility operations by creating opportunities, improving performance, and saving money.

Autonomous Tug

ASI designs and manufactures unmanned vehicle systems, software, and components that are technology agnostic. ASI’s robotic building blocks platform can be leveraged in a variety of industries including agriculture, automotive, mining, military, security, and industrial applications. ASI’s vehicle automation kits are OEM independent and have been used for many different applications. Clients have experienced enhanced safety, increased efficiency, and improved accuracy.

For over 18 years, ASI has been a leader in vehicle automation and has worked with world leaders such as Sharp, Case IH and New Holland Agriculture, Ford, FCA America, Toyota, Hyundai, Rio Tinto, Barrick Gold, Boeing, Lockheed Martin, Northrop Grumman, Dematic and more. ASI has a strong software team which makes up over half of its engineering work force. ASI’s Mobius software allows for command and control of a fleet of vehicles in addition to ease of use, industry specific task planning, and vehicle diagnostics. ASI has extensive experience automating vehicles of all shapes and sizes with an emphasis on systems integration, obstacle detection and avoidance, tele-operation, and fully autonomous controls.

About ASI

Autonomous Solutions, Inc. (ASI) is a world leader in industrial vehicle automation. ASI serves clients across the world in the mining, agriculture, automotive, government, and manufacturing industries with remote control, teleoperation, and fully automated solutions from its headquarters and 100-acre proving ground in northern Utah.





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