UTARI

UTARI

Applied R&D institute of UT Arlington, Fort Worth TX, advancing robotics, automation, unmanned systems, biomedical tech, and autonomous vehicles for 30+ years.

Visit Website

Company Overview

The University of Texas at Arlington Research Institute (UTARI) is an applied research and development institute of The University of Texas at Arlington (UTA), physically located at 7300 Jack Newell Boulevard South, Fort Worth, Texas 76118. Established in 1986 in east Fort Worth, UTARI has operated for more than 30 years as a bridge between academic research and industry-ready technology, conducting approximately $16 million in sponsored research annually across areas including advanced controls and sensors, automation and intelligent systems, biomedical technologies, airborne computing networks, and predictive performance methodologies. The institute's mission is to link discovery, development, and technology commercialisation in ways that generate technology-based economic development, and it collaborates with regional businesses, federal agencies, and university faculty to deliver applied engineering solutions.

UTARI's Automation and Intelligent Systems division conducts research in human-robot interaction (HRI) with a focus on assistive robotics for elder care, caregivers, wounded warriors, and individuals with disabilities. Active HRI projects have included a Robotic Nursing Aid programme using a PR2 robot in collaboration with the University of Louisville-Kentucky, Texas Health Resources, and UTA's School of Nursing, funded by the National Science Foundation under its Building Innovation Capacity programme. Additional projects include Theatre for Psychological Well-Being, an interdisciplinary dementia and Alzheimer's intervention tool developed with UTA's College of Theatre Arts and School of Social Work, and a Providing Respite for Caregivers project co-funded by the National Institutes of Health through the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR). UTARI also operates the Emotional Robotics Living Lab, which investigates how robots can be integrated into home environments as companions and caregivers, with studies showing that robot interaction reduced depression among senior citizens.

Beyond human-robot interaction, UTARI houses the Maverick Autonomous Vehicle Research Center and conducts unmanned ground and aerial vehicle research in collaboration with industry and academic partners. The institute offers a rapid product development pathway for companies seeking to transition fundamental technologies to market, positioning itself as a low-cost and reliable commercialisation partner. UTARI engages graduate and undergraduate students in sponsored research to enhance their engineering education, contributing to UTA's strategic objectives while serving as a responsible technology partner for the North Texas business community.

Capabilities & Activities

Primary type & automation activities this supplier delivers:

Applications & Industries

Product Categories

Partnership & Notable clients

Associating Events

Contact UTARI

WEBSITE

https://utari.uta.edu

EMAIL

[email protected]

PHONE

+1 817-272-5900

HEADQUARTERS

7300 Jack Newell Blvd S
Fort Worth , Texas  76118

United States

Company Facts

Founded

-

Primary Role

Research Institute

Company Size

employees 100-500

Primary Region

North America

Annual Sales

-

Funding Stage

-

Funding Total

-

Listed in RobotToday Supplier Discovery. Verified Profile

Related Coverage

Kazakhstan Police Utilizes Robotic Dogs for Patrol at Nomad Alemi Festival

Kazakhstan Police Utilizes Robotic Dogs for Patrol at Nomad Alemi Festival

During the Nomad Alemi cultural festival in Ulan District, Kazakhstan, police deployed robotic dogs for actual patrol duties. This marks the first time robotic systems have been used for maintaining public order at a large event in the region. The robotic dogs can autonomously patrol designated areas, conduct continuous video surveillance, perform video analysis, and recognize faces, relaying real-time information back to the operations control center. The deployment of robotic dogs is significant as it addresses the challenge of limited police presence at large events while needing to monitor numerous points. These robots can cover areas not reachable by fixed cameras and can navigate through crowds, enhancing public safety. The East Kazakhstan police emphasized that these robotic systems are now part of the region's digital security framework, moving from trial and demonstration to regular operational use. Looking ahead, the capabilities of facial recognition integrated into the robotic dogs raise important questions regarding data retention, comparison permissions, and error handling. While the current deployment is limited in scale and focused on controlled environments, it provides a sample for observing the role of robotic dogs in public safety. Future developments will reveal whether this model expands to routine street patrols and how the data collected will integrate into broader security networks.

Robotic Dogs Public Safety Surveillance Technology Law Enforcement AI
Alien Control Systems Opens 191,000-Square-Foot Facility for Bullfrog Counter-Drone Production

Alien Control Systems Opens 191,000-Square-Foot Facility for Bullfrog Counter-Drone Production

Alien Control Systems (ACS) is launching a new 191,000-square-foot manufacturing facility in Austin, Texas, to enhance production of its Bullfrog counter-drone system. This expansion is a direct response to increased demand from the U.S. and allied nations for effective countermeasures against weaponized drones. The new facility will allow ACS to rapidly scale production of Bullfrog, which integrates computer vision, autonomous control, and precision robotics. The system has already been deployed by the U.S. Army and Navy, and it has contracts with Joint Interagency Task Force 401 and several allied militaries, underscoring its significance in safeguarding critical infrastructure. Looking ahead, ACS aims to further expand Bullfrog's deployment across U.S. military services, following its recent selection by the U.S. Marine Corps for the Ground Based Air Defense program. No further timeline was disclosed at the time of publication.

Military
Selecting the Optimal Rack and Pinion System for Precision Linear Motion Applications

Selecting the Optimal Rack and Pinion System for Precision Linear Motion Applications

GAM has developed rack, pinion, and gearbox systems designed for high performance across all components. A rack and pinion system operates by converting rotational motion from the pinion into linear motion via the rack. Choosing the correct system is crucial, as improper selection can lead to performance issues and increased costs. According to Matt Ruggles, senior design engineer at GAM, selecting the right size for the rack and pinion is essential to avoid breakage or space constraints. The size of the pinion must match the rack to achieve the desired speed and feed force. Additionally, the overall dimensions influence inertia matching between the motor and load, impacting system smoothness. The selection process typically begins with either speed or feed force requirements. If feed force is prioritized, the rack must be adequately sized to transmit the necessary force. Conversely, if speed is the focus, the system must be configured to meet the target speed. Higher precision applications may require specific tooth sizes and shapes, with helical teeth providing smoother motion compared to straight teeth.

Actuators / Motors / Servos Motion Control News Sponsored Content GAM sponsored
Exploring Everyday Automation: Insights from Siemens on Market Trends and Use Cases

Exploring Everyday Automation: Insights from Siemens on Market Trends and Use Cases

In a recent Automation World podcast, Raj Rajendra, a product portfolio sales specialist at Siemens, discussed the concept of 'everyday automation' and its relevance in today's market. The conversation focused on how trends such as digitalization, networking, and heightened cybersecurity needs are influencing small automation systems. This discussion is significant as it addresses the practical applications of everyday automation for various stakeholders, including OEMs, machine builders, system integrators, and end users. By emphasizing efficiency, the podcast aims to provide insights on how to navigate the complexities and costs associated with larger control systems. Listeners should pay attention to the emerging use cases presented in the podcast, which highlight the potential for increased efficiency in automation. No further timeline was disclosed at the time of publication.

Factory / Control
Maven Robotics Secures $100 Million in Series A Funding to Innovate Industrial Automation

Maven Robotics Secures $100 Million in Series A Funding to Innovate Industrial Automation

Maven Robotics has officially launched with $100 million in Series A funding, taking a unique technological approach by utilizing a wheeled chassis combined with dual arms to tackle monotonous palletizing tasks in warehouse logistics. CEO Hamza Derbas stated that bipedal robots are 'meaningless' in industrial scenarios due to their complexity, unreliability, and added costs. The company's wheeled robots can achieve a speed of 10 miles per hour and lift loads of up to 30 kilograms, maintaining a 99% operational rate for 16 hours a day in customer warehouses. This design prioritizes stability, efficiency, and maintainability over biomimetic forms, aligning with the core demands of industrial environments. Maven's understanding of 'task closure' positions it not merely as a robot supplier but as a provider of end-to-end automation solutions. Looking ahead, Maven aims to accumulate over 100,000 hours of autonomous operation data by the end of the year, with a goal of surpassing 1 million hours by 2027. This pragmatic approach underscores the belief that the evolution of industrial intelligence relies on consistent performance in real production lines rather than the allure of impressive demonstration videos.

Warehouse Automation Robotics Industrial Automation Logistics Technology
Addressing Workflow Gaps in Automation Projects for Improved Efficiency

Addressing Workflow Gaps in Automation Projects for Improved Efficiency

In manufacturing plants, workflows often diverge between documented procedures and actual practices on the floor. This discrepancy leads to automation projects stalling, as the systems implemented follow the documented version, while undocumented exceptions continue to operate as usual. For instance, a scheduling or pricing call may rely on a single trusted individual, with no formal documentation outlining the approval process. The significance of addressing these gaps cannot be overstated. When automation is applied without considering these exceptions, they simply shift to informal channels like email or spreadsheets, creating new bypasses that undermine the intended efficiency. To mitigate this issue, it is crucial to identify and document these exceptions before scoping automation projects. To effectively capture these gaps, conducting a tabletop walkthrough can be beneficial. By having an employee unfamiliar with the workflow explain the process step by step, it becomes easier to identify points of confusion or undocumented approvals. These insights should be incorporated into the requirements document to ensure that automation is aligned with the actual workflow, thereby enhancing operational efficiency.

Process / Digital Transformation
Manufacturers Shift Focus from Data Visibility to Actionable Insights

Manufacturers Shift Focus from Data Visibility to Actionable Insights

Manufacturers have invested years in enhancing operational visibility through connected machines and advanced analytics. Despite this, the plant floor continues to struggle with problem resolution due to a disconnect between identifying issues and taking corrective action. For instance, when a machine malfunctions, delays in communication and decision-making can lead to significant downtime and financial losses. This challenge is particularly pressing as manufacturers face tighter profit margins and labor shortages, necessitating more efficient use of existing assets. The traditional approach of merely collecting data is insufficient; manufacturers require technology that translates information into actionable steps. Current manufacturing software primarily records historical data, which does not meet the immediate needs of technicians on the floor. Looking ahead, there is a critical need for manufacturing operations software to evolve beyond data storage and visualization. It should facilitate operational coordination by linking equipment signals with the necessary workflows and resources for timely responses. The focus must shift from visibility alone to enabling decisive action in real-time.

Factory / Digital Transformation
Vention Launches Montreal AI Lab to Enhance Industrial Robotics Capabilities

Vention Launches Montreal AI Lab to Enhance Industrial Robotics Capabilities

Vention has inaugurated a physical AI research lab in Montreal aimed at advancing robotic manipulation for manufacturing applications. The lab, directed by Jimmy Li and advised by Joelle Pineau, will leverage industrial data and customer insights to develop scalable robotic systems. With a focus on real-world production challenges, the lab aims to create technologies that enhance reliability and reduce costs in automation. This initiative is significant as Vention's physical AI segment has seen a remarkable 400% revenue increase over the past year, indicating a growing demand for advanced automation solutions. The lab's unique approach integrates academic research with practical production feedback, allowing for rapid development and testing of new robotic systems. This model positions Vention to address complex manufacturing tasks that have traditionally been difficult to automate. Looking ahead, Vention's Montreal lab is expected to expand its team and generate new intellectual property. The company plans to release a public software development kit for its GRIIP manipulation pipeline, which breaks down robotic tasks into manageable stages. No further timeline was disclosed at the time of publication.

AI AI Funding & Investment Robotics Canada.Montreal computer vision industrial robotics
Tactile Sensing Technology Sees Significant Growth in Robotics Sector

Tactile Sensing Technology Sees Significant Growth in Robotics Sector

Tactile sensing technology is gaining prominence in the robotics industry as humanoid robots transition from exhibition spaces to factory floors. Since 2026, funding in the tactile sensing sector has exceeded 7 billion yuan, with the penetration rate of tactile sensors in commercial humanoid dexterous hands rising from 20% to over 60% this year. This rapid growth is notable within the robotics components sector, highlighting a shift in robotic applications. While visual-language-action models have enhanced robots' environmental understanding and task planning, precision assembly and flexible grasping require tactile feedback for effective force control and slip detection. According to Qianjue Robotics founder Ma Daolin, tactile sensing is essential for high-precision industrial operations. The evolution of technology supports this need, as Qianjue Robotics' VTLA model integrates tactile modalities into traditional frameworks, enabling real-time perception of deformation, texture, and force distribution during contact. Their comprehensive tactile solution expands sensing from fingertips to palms, achieving a sensor density of 125 points per square centimeter and a force accuracy of 0.03 Newtons. As hardware costs decrease and data accumulation accelerates, tactile sensing is becoming a necessary capability in real-world operational scenarios.

Tactile Sensors Humanoid Robots Robotics Technology Industrial Automation
Fanuc and Google Collaborate on AI-Driven Welding Robots for Enhanced Automation

Fanuc and Google Collaborate on AI-Driven Welding Robots for Enhanced Automation

Japanese industrial automation firm Fanuc has partnered with Google to create an AI-automated welding system. This innovative solution utilizes robots equipped with artificial intelligence that can interpret blueprints directly, thus removing the need for manual programming. Deliveries of this advanced system are expected to commence in December 2026. This collaboration is significant as it represents a leap forward in automation technology, potentially streamlining manufacturing processes and improving efficiency in welding tasks. By enabling robots to read blueprints autonomously, Fanuc and Google aim to reduce labor costs and enhance productivity in industrial settings, which is crucial for maintaining competitiveness in the global market. Looking ahead, industry stakeholders should monitor the rollout of this AI-driven welding system, particularly its impact on manufacturing workflows and labor dynamics. The anticipated deliveries in December will be a key milestone, and the performance of these robots in real-world applications will be critical to assessing their effectiveness and adoption in various sectors.

China’s Dexterous Hand Industry, 2026 Part 3 — The Players

China’s Dexterous Hand Industry, 2026 Part 3 — The Players

Five vendor archetypes, MIR’s composite top ten, eight company profiles and six field deployments — every firm linked to the RobotToday supplier directory.

China’s Dexterous Hand Industry, 2026 Part 2 — The Technology

China’s Dexterous Hand Industry, 2026 Part 2 — The Technology

Linkage, tendon, direct drive or hybrid — and why hardware is converging while the DL1–DL5 manipulation scale decides who wins. Part 2 of 3.

China’s Dexterous Hand Industry, 2026 Part 1 — The Demand Picture

China’s Dexterous Hand Industry, 2026 Part 1 — The Demand Picture

MIR Databank puts China dexterous hand shipments above 30,000 units in 2026, yet only 3.5% of 2025 demand came from factory production. Part 1 of 3.

Software, Compute and Interaction at WRC 2026

Software, Compute and Interaction at WRC 2026

47 WRC 2026 exhibitors supply robot software, compute or interaction — but only 19 call themselves software companies. Five open artefacts, licence-checked.

WRC 2026 Core Components: 137 Robot Parts Suppliers

WRC 2026 Core Components: 137 Robot Parts Suppliers

The third report in the WRC 2026 series. Report 1 mapped all 248 exhibitors by category and Report 2 covered the 139 that build finished robots. This one covers the 137 that build what goes inside them.

WRC 2026 Robot Systems: 149 Companies That Build Robots

WRC 2026 Robot Systems: 149 Companies That Build Robots

149 of the 248 classified WRC 2026 exhibitors build finished robots. 93 build humanoid or legged machines. The audited humanoid sales number is one unit.

ROBOTTODAY Weekly August 10 – 14, 2026

ROBOTTODAY Weekly August 10 – 14, 2026

Your weekly robotics briefing: Unitree's IPO is swamped by retail demand, the US puts 100% tariffs on imported drones, LG and Nvidia commit to a 2027 humanoid, and Uber and Pony.ai bring 2,000 robotaxis to Europe.

Inside Saga Robotics: UVC Light vs. Crop Disease

Inside Saga Robotics: UVC Light vs. Crop Disease

Saga Robotics CPO Damian Flynn on the Thorvald platform's UVC treatment system, its jump from UK strawberries to California wine grapes, and why he's “incredibly bullish” on applying automation and robotics into industries “most chaotic environment.”

Underactuated Robotics Russ Tedrake — RSF Specialist Shelf · Book S3 of 6

Underactuated Robotics Russ Tedrake — RSF Specialist Shelf · Book S3 of 6

Legged robots fall over for control reasons, not mechanical ones. Tedrake's free MIT 6.832 notes explain why, and what a controller must do about it.

ROBOTTODAY Weekly July 27 – 31, 2026

ROBOTTODAY Weekly July 27 – 31, 2026

Your weekly robotics briefing: the US bans imports of Chinese humanoid robots, Google DeepMind unveils Gemini Robotics 2, Unitree pushes toward its Shanghai IPO, and Amazon's Zoox wins approval for paid robotaxi rides.