Category: News

ASI Showcases Non-Stop 24-Hour Autonomous Farming For Agriculture at FIRA USA 2025

October 21-23 Event Features Full Fleet Brand Agnostic Autonomy to Offset Labor Shortages and Optimize Productivity for Future Farming

Mendon, UT – October 20th, 2025: Autonomous Solutions, Inc. (ASI), the worldwide leader of industrial vehicle automation and developer of the Mobius® autonomous fleet management system, will be attending FIRA USA 2025, which takes place at the Yolo County Fair in Woodland, CA. The event brings together 2,500+ leaders from across the agricultural robotics sector for three days of insightful discussions and networking beginning on October 21st. ASI will be in Booth 38 showcasing non-stop 24-hour autonomous farming with its Mobius for Tractors. This system optimizes tillage operations by automating a large fleet of tractors through a safe, after-market application of robotics for your site operations.

“ASI has been transforming farming with autonomy for 25 years. Over the last two years of attending FIRA USA, ASI has had great success meeting with potential prospects and partners, like Agricef and Balanced Engineering, with whom we are currently working in Brazil”, shares ASI’s Ag Product Manager, Bret Turpin. “As ASI moves forward with automation innovations targeting agriculture, we are genuinely excited about helping the industry manage fleets of farming vehicles in a brand-agnostic way. With ASI, there is no need to replace what you currently have. Our Mobius will transform your assets into fully functioning autonomous machines to offset the challenges of labor shortages and productivity shortfalls.”

Those attending FIRA USA 2025 can set a meeting with ASI’s Bret Turpin or Kevin Cobb. Email either bret.turpin@asirobots.com or kevin.cobb@asirobots.com to block time.

About Autonomous Solutions, Inc.

Autonomous Solutions, Inc. (ASI), worldwide leader of industrial vehicle automation, developed Mobius® autonomous fleet management system. ASI’s innovative safety robotic hardware and software makes any fleet, large and small, entirely autonomous. Trusted by global Fortune 500 companies across various sectors, such as heavy construction, agriculture, logistics, and landscaping, ASI transforms the dirty, dull, and dangerous into efficient, scalable, accurate, and reliably productive operations. Founded in 2000 by a group of engineers who took technologies developed at Utah State University into the commercial sector, ASI has grown to become one of the largest privately held robotics-focused companies anywhere. Homebase is ASI’s 100-acre proving ground in Northern Utah with offices in Salt Lake City, Utah and Dallas/Fort Worth, Texas. For more information, visit staging-acf4-2023asirobots.wpcomstaging.com/ or follow ASI on LinkedIn.

Autonomous Solutions, Inc. Is Revolutionizing Autonomy Across Industries With Scalable, OEM-Agnostic Solutions

Powered by 25 Years of Expertise, ASI’s Team Builds a Future Where People and Machines Work Smarter Together

https://www.youtube.com/watch?v=xOhFKcZCbFE&t=3s

Mendon, UT – July 29, 2025: Autonomous Solutions, Inc. (ASI), the worldwide leader of industrial vehicle automation and developer of the Mobius® autonomous fleet management system, is revolutionizing autonomy across industries, like Heavy Construction, Logistics, Agriculture, and Landscaping, with scalable, OEM-agnostic offroad vehicle solutions. With an ever-growing ASI team, this “People-Building Robot Company” brings 25 years of expertise focused on a future where people and machines work smarter together. As industries worldwide face a growing shortage of skilled machine operators, ASI’s solutions are helping companies maximize productivity, reduce costs, and reallocate human talent to higher-value roles. This vision is reflected in its latest “ASI Brand Story” video.

“From day one, 25 years ago, ASI developed on a platform approach where we could leverage that technology and rapidly automate additional vehicles”, shares ASI CEO Mel Torrie. “That’s why, we’ve been able to do over 100 different vehicle models in a very affordable way. There are significant challenges and waste associated with large mines, construction sites, farm sites, and golf courses. We can orchestrate optimally the movement of all of that equipment that makes that possible.”

As to the integral nature of Mobius, ASI Process Improvement Manager Jed Judd states, “Mobius is ASI’s flagship software that allows you to command multiple autonomous vehicles across your entire site. Vehicles can be autonomously driven from the command center immediately at your proving ground or from thousands of miles away.”

Regarding the people behind the technology, Chief Product Officer Cory Rowe says, “We’ve been in business for 25 years, and from that, we’ve been able to create a technology stack that allows us to build products quickly and get to market fast. And that experience is embedded in all of our people and in the ASI culture.”

About Autonomous Solutions, Inc.

Autonomous Solutions, Inc. (ASI), worldwide leader of industrial vehicle automation, developed Mobius® autonomous fleet management system. ASI’s innovative safety robotic hardware and software makes any fleet, large and small, entirely autonomous. Trusted by global Fortune 500 companies across various sectors, such as heavy construction, agriculture, logistics, and landscaping, ASI transforms the dirty, dull, and dangerous into efficient, scalable, accurate, and reliably productive operations. Founded in 2000 by a group of engineers who took technologies developed at Utah State University into the commercial sector, ASI has grown to become one of the largest privately held robotics-focused companies anywhere. Homebase is ASI’s 100-acre proving ground in Northern Utah with offices in Salt Lake City, Utah and Dallas/Fort Worth, Texas. For more information, visit asirobots.com or follow ASI on LinkedIn.

Autonomous Solutions, Inc. Earns 2025 Great Place To Work Certification™

Utah-Based “People-Building Robot Company” Employer’s Honor Comes on the Heels of ASI’s Global Expansion and Hiring for UT and TX Locations

Mendon, UT – July 16, 2025: Autonomous Solutions, Inc. (ASI), the worldwide leader of industrial vehicle automation and developer of the Mobius® autonomous fleet management system, is proud to be Certified™ by Great Place To Work® in 2025. This prestigious award is based entirely on the feedback from current employees about their experience working at ASI. This year, 87% of ASI employees said it’s a great place to work. That’s 30% higher compared to 57% of employees at a typical U.S.-based company.

“Great Place To Work Certification is a highly coveted achievement that requires consistent and intentional dedication to the overall employee experience,” says Sarah Lewis-Kulin, the Vice President of Global Recognition at Great Place To Work. She emphasizes that Certification is the sole official recognition earned by the real-time feedback of employees regarding their company culture. “By successfully earning this recognition, it is evident that ASI stands out as one of the top companies to work for, providing a great workplace environment for its employees.”

“We are humbled by this distinction,” shares ASI CEO Mel Torrie. “ASI is keenly focused on advancing people in equal measure to advancing autonomy. Putting people first is what we mean when we say ASI is a People-Building Robot Company. It’s a key differentiator that sets ASI apart from the competition. We honor the integrity of the Great Place To Work’s survey process and acknowledge GPTW’s global authority on workplace culture, employee experience, and the leadership behaviors proven to deliver market-leading revenue, employee retention, and increased innovation.”

According to Great Place To Work research, job seekers are 4.5 times more likely to find a great boss at a Certified great workplace. Additionally, employees at Certified workplaces are 93% more likely to look forward to coming to work and are twice as likely to be paid fairly, earn a fair share of the company’s profits, and have a fair chance at promotion.

In the case of ASI, leading indicators based on staff surveys are:

• 96% of ASI believe People care about each other here.
• 95% of ASI believe Management would lay people off only as a last resort.
• 94% of ASI believe People can take time off from work when necessary.
• 94% of ASI believe When you join the company, you feel welcomed.
• 92% of ASI believe People here are willing to give extra to get the job done.

In closing, Mel Torrie says, “ASI is hiring. If you’re looking to grow your career at a company that prioritizes its people, I encourage you to visit ASI’s careers page.

About Autonomous Solutions, Inc.

Autonomous Solutions, Inc. (ASI), worldwide leader of industrial vehicle automation, developed Mobius® autonomous fleet management system. ASI’s innovative safety robotic hardware and software makes any fleet, large and small, entirely autonomous. Trusted by global Fortune 500 companies across various sectors, such as heavy construction, agriculture, logistics, and landscaping, ASI transforms the dirty, dull, and dangerous into efficient, scalable, accurate, and reliably productive operations. Founded in 2000 by a group of engineers who took technologies developed at Utah State University into the commercial sector, ASI has grown to become one of the largest privately held robotics-focused companies anywhere. Homebase is ASI’s 100-acre proving ground in Northern Utah with offices in Salt Lake City, Utah and Dallas/Fort Worth, Texas. For more information, visit asirobots.com or follow ASI on LinkedIn.

About Great Place to Work Certification™ and Great Place To Work®

Great Place To Work® Certification™ is the most definitive “employer-of-choice” recognition that companies aspire to achieve. It is the only recognition based entirely on what employees report about their workplace experience – specifically, how consistently they experience a high-trust workplace. Great Place to Work Certification is recognized worldwide by employees and employers alike and is the global benchmark for identifying and recognizing outstanding employee experience. Every year, more than 10,000 companies across 60 countries apply to get Great Place To Work-Certified.

As the global authority on workplace culture, Great Place To Work® brings 30 years of groundbreaking research and data to help every place become a great place to work for all. Their proprietary platform and For All™ Model help companies evaluate the experience of every employee, with exemplary workplaces becoming Great Place To Work Certified™ or receiving recognition on a coveted Best Workplaces™ List. Learn more at greatplacetowork.com and follow Great Place To Work on LinkedIn, Twitter, Facebook and Instagram.

As humans venture further into the waters of autonomy, there are natural concerns regarding how we will interact with advanced robotics and artificial intelligences when occupying the same physical space. Autonomous machines aren’t designed to completely remove the human element from an operation, but rather to reposition or reassign people to areas where they are more useful and less likely to encounter danger. Still, situations will inevitably arise in which operations require both unmanned and manned vehicles in a mixed fleet. In these potentially hazardous environments, maintaining human safety is of paramount importance.

ASI and Remote Tracking Systems, Inc.

To provide optimal supervision of both manned and unmanned assets in a mixed fleet environment, ASI integrated a powerful tracking system designed by Remote Tracking Systems Inc. (RTS) to maximize safety within this space. The optional feature works in concert with ASI’s Mobius command and control software, which provides users with unparalleled supervision of unmanned vehicles. We’ve leveraged technology from RTS, a leading provider of Asset Tracking Solutions, and incorporated their precise real-time tracking innovations into the Mobius platform. The result is a high-performance and cost-effective system for mixed fleet management.

How Does It Work?

Machine and human interactions are made safe and easy with Mobius’ new tracking feature, which allows autonomous vehicles to continue functioning when otherwise, safety parameters would dictate a shut-down so a human could enter an area. The human need only carry a portable radio/GPS-monitored tracking device on his person, or place the device in his vehicle to signal that he has the right of way. Unmanned vehicles will always yield to the manned asset, ensuring human safety. Alternatively, users can set Mobius to automatically pause or completely stop unmanned vehicle activity when in a given proximity of a human or manned asset. The machines will always know the exact location of the manned vehicle or person and make the proper adjustments in the interest of safety.

A Superior Mixed Fleet

ASI has worked in close partnership with RTS to bring the industry’s most advanced tracking technology into the autonomous space, enabling superior mixed fleet operations. This technology is easily deployed to any industry in which ASI operates, with applications in mining, automotive proving grounds, agriculture, construction, and military ecosystems. Now humans can take part in unmanned environments without interfering with operations or posing a risk to safety. To learn more about this groundbreaking innovation, visit our platforms page

The invention of the tractor in the 19th century unquestionably revolutionized farming. And it wasn’t long before these engine powered vehicles totally replaced animal drawn machines, completely modernizing the entire agriculture industry for centuries to come.

But now, autonomous technology is proving to be a game-changer for the 21st century farmer. Tractors integrated with artificial intelligence and smart hardware are facilitating more efficient, less labor-intensive farming, and totally transforming agriculture processes once again.

A year ago, ASI and CNH Industrial unveiled the autonomous tractor concept, the cabless Case IH Magnum series tractor. This autonomous vehicle has travelled to agriculture trade shows and events around the world, boastfully displaying its cutting-edge technology and assorted features.

ASI, a leader in autonomous technology, is working with CNH Industrial to perfect their autonomous technology which is projected to increase accuracy, improve management of resources, and save on fuel and labor costs. And with continuous innovation and testing, this technology continues to mature and progress for application in the agriculture industry.

In early 2017 AccuGuide for Case IH made its debut. Developed by ASI and CNH Industrial’s Innovation Group, AccuGuide is an automated steering system that utilizes advanced technology to plan end of row turns in the headlands of a field. This technology made an appearance last month at AgQuip 2017 in Australia and the Farm Progress show in Iowa, where it’s host of impressive features turned many heads.

This state of the art system displayed its extraordinary capabilities of achieving year-to-year repeatable accuracy from sub-inch levels and beyond; reducing skips and overlaps; and promoting better seed, fertilizer, and chemical inputs management. With AccuGuide, operations become simplified, and hours can be added to the day during critical operating windows.

CNH Industrial and ASI are also collaborating on New Holland Agriculture’s conceptual, New Holland Drive, a driverless tractor concept engineered to perform a wide range of farming tasks. This unmanned vehicle can be remotely monitored, commanded and controlled via a desktop computer or portable tablet interface, giving a single individual the ability to manage one or more tractors with remarkable precision and reliability.

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A path-plotting screen reveals the tractor’s progress while another shows a live camera feed, providing the user with multiple, real-time views. And because the New Holland Drive tractor is able to work 24/7, it can achieve superior levels of productivity compared to conventional methods, all while reducing the risks associated with human error.

Autonomous technology is dramatically upending the agriculture industry, boosting operational efficiencies and increasing harvests, all while driving down prices.

ASI is excited to be working with CNH Industrial to pioneer autonomous tractor technology and the mechanization of agricultural tasks, making farm work smarter. To learn more about the future of farming, watch our videos featuring the autonomous tractor at asirobots.com/farming today.

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While autonomous vehicles are gaining usage across numerous industries, the concept of self-navigation raises many questions, and rightfully so. With no human in direct control of the vehicle to navigate where to go, how to get there, or make real-time decisions along the way, how do autonomous vehicles actually determine their paths?

Accurate and reliable detection of obstacles is paramount to collision avoidance, but can be quite challenging as obstructions tend to vary in size and geometry. Some objects, such as dust, can cause a false-positive or false-negative reaction, when in reality, there is no impending collision.

ASI’s advanced Path Planning and Control makes it all possible. By utilizing state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML), ASI has developed precision control algorithms that enable autonomous vehicles to accomplish their tasks safely and efficiently.

Path Planning and Control
The basic framework of Path Planning and Control starts with programming an objective for the autonomous vehicle to achieve. To accomplish this task, the machine must choose a path and adjust to obstacles, terrain, and changing conditions in order to reach its destination safely.

By utilizing a primarily LiDAR-based perception system, a cost surface is created as an input to a nonlinear optimization solver. The current vehicle state, desired vehicle state, perceived-cost surface, vehicle dynamics, and vehicle kinematics are vital inputs the solver uses to generate feasible path options for the vehicle.

Autonomous Navigation
ASI’s AI algorithms are then used to facilitate safe and reliable navigation of unknown or dangerous terrain to arrive at the desired location. With this terrain model, the vehicle is able to predict future behaviors for hazard avoidance and optimal trajectory selection.

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World Modeling
Exteroceptive sensors on the vehicle collect data from the surroundings, which are processed by the AI algorithm for sensor fusion to build a highly accurate model of the environment. This model can be accessed and updated by any autonomous vehicle entering the area.

Leader Follower Operation
Another feature of ASI’s autonomous vehicles is the ability to follow the leader. Whether the leader be a manned vehicle, unmanned vehicle, or even a person on foot, this ASI algorithm enables autonomous vehicles to follow the defined leader while still maintaining their individual collision avoidance and terrain navigation features.

Machine Learning
ASI’s machine learning is another important part of their autonomous vehicle solutions. Here are some of the ML capabilities:

• Auto Tuning – By monitoring and comparing actual and desired behaviors, parameters are automatically adjusted for continuous improvement.
• Obstacle Identification and Classification – ASI researchers are improving world modeling and object learning that will then be shared between vehicles for collaborative and improved behaviors.
• Convoy Operations – ASI is also developing convoy technology that will increase the efficiency of vehicle groups through unknown and harsh terrain.

Leader Follower Operation
Another feature of ASI’s autonomous vehicles is the ability to follow the leader. Whether the leader be a manned vehicle, unmanned vehicle, or even a person on foot, this ASI algorithm enables autonomous vehicles to follow the defined leader while still maintaining their individual collision avoidance and terrain navigation features.

Path Planning and Control are essential features for vehicle automation made possible by ASI’s innovative AI and ML technology. As the world leader in vendor independent vehicle automation systems, Autonomous Solutions, Inc. delivers automation solutions to the mining, agriculture, automotive, government, and manufacturing industries with unrivaled performance.

Learn more about our advanced autonomous vehicle solutions today!

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Autonomous vehicles are being utilized across numerous industries resulting in dramatic increases in business performance. To operate safely and successfully, these autonomous vehicles must navigate their surroundings without incident. As such, collision avoidance is one of the largest areas of concern when it comes to the implementation of autonomous vehicles.

Accurate and reliable detection of obstacles is paramount to collision avoidance, but can be quite challenging as obstructions tend to vary in size and geometry. Some objects, such as dust, can cause a false-positive or false-negative reaction, when in reality, there is no impending collision.

The problem of obstacle detection can be reduced to a two-state Markov model, which is a model used for randomly changing systems based on stochastic calculus. The transition between these two states, obstacle or non-obstacle, is then governed by a Bayesian inference which takes into account past probability, current measurements, and sensor characteristics. Thus, the most comprehensive way to correctly understand the real obstacles autonomous vehicles encounter is by applying sensor fusion.

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By “fusing” LiDAR and Radar measurements into a complete occupancy grid, along with advanced Artificial Intelligence (AI) and Machine Learning (ML), ASI’s Obstacle Detection Sensor Fusion application optimizes obstacle detection for increased collision avoidance. Through the implementation of predictive analytics which account for prior inputs of cell occupancy probability, a labeled 3D point-cloud from the LiDAR unit, the detected objects by the radar, and the associated radar field of view, ASI’s algorithm builds a complete grid system that identifies, classifies, and circumvents obstacles.

The value in each grid cell is computed using the measurements that are classified as either obstacle or non-obstacle. Then, based on adjustments to both true-positive and true-negative rates, the AI algorithm is tuned for each sensor by using the associated confidence level. This method has been show to enhance collision avoidance.

ASI’s Obstacle Detection Sensor Fusion enables autonomous vehicles to traverse unknown terrain and dangerous obstacles to arrive at a desired endpoint safely. The advanced AI and ML algorithm creates an accurate model of the world, identifies and classifies obstacles and non-obstacles, then stores this information in a database which can be accessed by any autonomous vehicle that enters that region, thereby allowing for continuous updating and learning. Teaching a vehicle to learn is just the beginning — ASI’s research and development team is taking this technology further by enabling autonomous vehicles to share information for a collaborative improvement in vehicle behavior.

Learn more about ASI’s collision detection at work in the mining industry and current areas of research.

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Elements of driverless technology are being inserted into every industry and sector, from consumer vehicles to commercial transportation to mining fleets.

The military is also actively pursuing ways in which ground vehicle operations can be made safer and more efficient with the integration of autonomous solutions. One way in which this is possible is by transforming manned convoys into unmanned operations.

A Smarter Convoy

The military relies on convoys to move people and supplies, typically along vast and sometimes treacherous terrain. Obstacles, enemy combatants, even inclement weather can pose challenges that might stand in the way of a successful convoy deployment. However, artificial intelligence and advanced robotics allow convoys to create improved, safer, and more reliable paths.

ASI’s Autonomous Convoy System (ACS) uses innovative technology that enables convoy vehicles to communicat with one another, relaying information about obstacles, terrain or other unsafe conditions. While numerous technology companies have made investments in autonomous convoy development for military applications, The United States Army Tank Automotive Research, Development and Engineering Center (TARDEC) turned to ASI to help advance current autonomous convoy technology.

Our research group has engineered breakthroughs for lateral stability control improvements. This allows leading vehicles to pass information back to followers, which the following vehicles use to improve their path following. We’ve also made advancements in sequential stability, multiple vehicle convoy, and world modeling, as convoys often encounter unmapped territories.

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Autonomous Advantages

ACS from ASI allows convoys to chart the smartest path to a destination. Autonomous Ground Resupply (AGR) provides another solution for generating better efficiencies. With AGR, troops can go out into the field with autonomous supply vehicles following them. When supplies diminish, the vehicles can return to base and retrieve more of what the field troops need. This saves time and costs, not having to transport human personnel back and forth across possibly dangerous supply lines, allowing them to continue executing their mission.

The advantages ACS yield for military applications can also be transferred to other industries. Convoys of unmanned vehicles can be useful for farming, shipping, and industrial organizations, reducing costs, decreasing personnel, and saving time by using smarter paths. To learn more about ACS and how ASI technology platforms are automating vehicle transportation, visit us at asirobots.com/platforms.

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ASI is working on things that no one else is doing today—taking existing vehicles and converting them to autonomous. We can use the same basic kit on a lot of different vehicles: mining equipment, agriculture vehicles, and everything in between.

This makes it possible to reduce driver exposure to hazardous conditions. After all, a robot can’t get a back or neck injury.

The Mobius technology has been developed over the last 17 years to optimize systems, so an operation can get lots of vehicles working together. One person can control 50 vehicles, and the Mobius technology keeps them from hitting each other and enables them to run constantly for 24 hours.

Projects that were never financially viable now become a possibility under an autonomous operation. The ASI system can also interface with vehicles that are not autonomous, which gives operators the ability to work in a mixed traffic environment.

Putting the robot in a vehicle opens the door for many industries to be more innovative and a lot safer. If you can dream it, there are people at ASI who can do it. To see the game-changing capability of ASI’s solutions in action, enjoy the video.

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