ROBOTS IN THE REAL WORLD
WORKING WITH HUMANS
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.
The 2019 Forum will convene San Diego’s robotics community to highlight the region’s breadth of expertise in autonomy, artificial intelligence, service robots and drones. Speakers from academia and industry will meet to share the latest advances in the field of robotics, and to develop a vision for the San Diego region as the national hub of robotics innovation.
November 18, 2019
As Moore’s Law reaches its limits, thermodynamic computing might prove to be the future of the field, says a new report from an international team of 38 researchers led by UC San Diego professor of practice Todd Hylton, released this month. Full Story
November 14, 2019
From companies worth billions of dollars to startups employing a small number of people, UC San Diego engineering alumni are at the core of the robotics ecosystem here in San Diego County.This was clearly evident at the sixth annual robotics forum organized by the UC San Diego Contextual Robotics Institute Nov. 7. The forum focused exclusively on local companies this year and was dubbed the San Diego Robotics Forum for the occasion. The goal was to showcase the breadth and depth of the region’s robotics strengths, and solidify San Diego’s reputation as Robot Beach. Full Story
Location: Atkinson Hall Auditorium
Time: 5:00pm - 7:00pm
"Learning Adaptive Models for Human-Robot Teaming"
Atkinson Hall 4004/4006
Howard Thomas - University of Rochester
"The Business of Robotics: An introduction to the commercial robotics landscape, and considerations for identifying valuable robot opportunities."
Center for Memory Recording Research (CMRR)
Phil Duffy - Brain Corp
"Efficient memory-usage techniques in deep neural networks via a graph-based approach"
Qualcomm Conference Room (EBU-1)
Salimeh Yasaei Sekeh - University of Maine