Our research teams are working to solve today’s pressing challenges in key areas including healthcare and autonomous vehicles.
Long term, we aim to develop robots that serve society in real time, in the real world. These robotic systems will adapt, evolve and create their own solutions based on the people and situations – the context – they encounter. And they’ll need to be secure.
To deliver, we are tackling fundamental research bottlenecks that will open up new capabilities for robots. Autonomous operation in many different environments is just one example.
Our plans require new approaches to research. New paradigms. We’ve aligned world-class expertise in hardware, software, cognitive science, design, machine learning, materials, security, and more, to make it happen.
Contextual Robotics Institute's fourth-annual Forum was October 27, 2017.Read the wrap-up story.
November 20, 2017
Controls expert Miroslav Krstic holds record seven fellowships in technical and scientific societies
2017 is turning out to be a banner year for Miroslav Krstic, a controls expert at the University of California San Diego who also serves as the senior associate vice chancellor for research here on campus. Full Story
November 13, 2017
A faster collision detection algorithm could enable robots to work more fluidly in the operating room or at home for assisted living. The algorithm, dubbed “Fastron,” runs up to 8 times faster than existing collision detection algorithms. It uses machine learning to help robots avoid moving objects and weave through complex, rapidly changing environments in real time. Full Story