ROBOTS IN THE REAL WORLD
WORKING WITH HUMANS

Our research teams solve pressing robotics challenges in three overarching areas:
autonomous systems, cyber-physical technologies, and medical robotics.

Many of  the robotics systems we develop are able to adapt and evolve based
on the people and situation - the context - they encounter.

Faculty, students, and professional research staff in each of the
Contextual Robotics Institute's three core research areas will be housed in
collaborative research laboratories - collaborations - in Franklin Antonio Hall,
the newest engineering building at UC San Diego.

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Robotic News


Driving Robotic Rehab

Driving Robotic Rehab

December 18, 2017

Rehabilitation robotics, although still an emerging field, is getting a shot of adrenaline because of sheer necessity. University researchers are developing novel approaches for using robotics to help our wounded veterans live more active lifestyles. Dr. Michael Yip, Assistant Professor of Electrical and Computer Engineering, and Director of the Advanced Robotics and Controls Lab (ARCLab), at the University of California San Diego is working with the U.S. Navy to create robotic orthotics and prosthetics that adjust to the wearer's activities. Full Story


Controls expert Miroslav Krstic holds record seven fellowships in technical and scientific societies

Controls expert Miroslav Krstic holds record seven fellowships in technical and scientific societies

November 20, 2017

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


Speedy collision detector could make robots better human assistants

Speedy collision detector could make robots better human assistants

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


News Archive

Seminars

Apr 22, 2024

"Generative Models for Distance-Geometric Inverse Kinematics"

Monday, Apr. 22nd @ 2pm PDT

Location: Franklin Antonio Hall (FAH) 4202  + Zoom 

Speaker:  Dr. Jonathan Kelly

Apr 15, 2024

"A Symbiotic Philosophy for Bio-inspired Robotics"

Monday, Apr. 15th @ 2pm PDT

Format: Zoom  

Speaker:  Dr. Talia Y. Moore

Apr 08, 2024

"Blending Theory and Tools for the Safe Control of Robots via Safety Filters"

Monday, Apr. 8th @ 2pm PDT

Location: Warren Lecture Hall (WLH) 2115 + Zoom  

Speaker:  Dr. Sylvia Herbert