Sarcos Awarded Artificial Intelligence Contract by Air Force Research Laboratory
Bolstered by multiple, multi-million dollar, multi-year
Division pioneering innovative AI approach applicable to myriad industrial robotics and autonomous vehicles
As part of the AFRL contract, Sarcos is developing a collaborative sensing solution that enables its
“Sarcos’ unique approach to reinforced learning and AI enables autonomous systems to work together more effectively,” said Dr.
The methods developed will harness the power of a myriad of sensor data to create more robust data sets that enable accurate autonomous operations in dynamic and unstructured environments, such as subsea operations and solar panel installations over diverse terrain, and the application for air force systems. The approach models how humans detect and adapt to their surroundings – using the multiple senses of sight, sound, and feel – to make real-time decisions and adjustments to operate effectively in real-world environments.
“This continued work is critical to advancing our AI platform to benefit customers across industries,” said Dr. Denis Gargic, chief technology officer, Sarcos. “The ability to harness and unify the power of sensors to adapt to dynamic inputs in unstructured environments allows for increased accuracy and continued operations despite changing conditions.”
Sarcos Forms New AI-Focused Business Unit to Meet Increased Demand
Software as a service (SaaS) and AI applications for robotics systems are emerging as expected growth drivers for Sarcos. As a result of the demand for autonomous solutions and building on the work derived from multiple, multi-million dollar, multi-year, AI-focused
The Advanced Technologies division will work to progress the development and productization of Sarcos' AI and machine learning (ML) software platform for generalizable autonomy. The AI and ML software platform will focus on enabling robots to learn from experience using a success-based learning approach. The AI and ML platform will be designed to be usable across a variety of autonomous systems, including factory robots and drones. Additionally, the division will continue to pioneer new algorithms, models, and techniques to unlock new possibilities in the field of robotics, with a focus on initiatives aimed at pushing the boundaries of AI capabilities for robotics operating in dynamic, unstructured environments which pose unique challenges due to their complex and unpredictable nature.
“Dynamic and unstructured environments present an exciting opportunity for AI innovation,” said
The newly formed division will also collaborate with industry partners, leveraging their domain knowledge and expertise to address market-specific challenges. Sarcos believes this market-led approach will accelerate the adoption of the technology and drive real-world applications fostering growth and innovation within these industries and beyond.
“I am honored to lead this newly formed division at Sarcos alongside some of the brightest minds in AI and ML,” said Dr. Garagic. “I look forward to continued collaboration with my colleagues, peers, industry partners, and others to solve some of the biggest AI challenges and provide solutions that will change the future of work. Together we will push the boundaries of AI in dynamic and challenging unstructured environments and revolutionize the way work gets done.”
For more information on Sarcos and its product portfolio, including solutions benefitting the
About
About Sarcos Technology and Robotics Corporation’s AI and ML Platform
Sarcos’ AI and ML platform is being designed to enable robotic systems to learn from experience using a success-based learning approach. The goal is to mimic the core domains of human-level concept/task learning, allowing robots to understand their environment, exhibit reasonable behavior in unforeseen situations, and quickly acquire new skills from new experiences. Unlike existing machine learning algorithms that often require numerous examples to achieve high accuracy, Sarcos’ AI framework seeks to emulate how people can generalize successfully from just a single example. By leveraging what the robot has previously learned, the framework fills in the gaps of unknown scenarios by generating robust and reliable predictions on how the robot should act in any given situation. The advanced AI software platform will revolutionize how businesses operate in dynamic and unstructured operating environments and will empower customers with cutting-edge capabilities and unlock new possibilities for efficiency and innovation.
Forward-Looking Statements
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Readers should carefully review the statements set forth in the reports which Sarcos has filed or will file from time to time with the
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