Checkers at MSI
Checkers at MSI
Duckietown at MSI
McDade students visit TTIC
Summer 2022 visiting students
Chip explains how Baxter solves a Rubik's Cube
Baxter solves a Rubik's Cube at MSI
Checkers at MSI
Duckietown Autolab at TTIC
Robot Block Party at MSI
Building Duckiebots
Checkers at UCLS
The Robot Intelligence through Perception Lab (RIPL) at TTI-Chicago develops intelligent, perceptually aware robots that are able to work effectively with and alongside people in unstructured environments.
RIPL is directed by Professor Matthew R. Walter. Our research focuses on advanced perception algorithms that endow robots with a rich awareness of their surroundings and the ability to interact safely and naturally with humans. We are particularly interested in algorithms that take as input multi-modal observations of a robot’s surround (e.g., laser range data, image streams, and speech) and infer properties of the objects, places, people, and events that comprise a robot’s environment.
We are looking for talented PhD students who are excited about computer vision, natural language understanding, and machine learning for robotics. If you are interested in joining us, consider applying to TTI-Chicago.
We are also looking to host students who are enthusiastic about robotics as part of TTI-Chicago’s Visiting Student Program, and encourage you to apply.
August 2022 |
Congrats to Chip Schaff for successfully defending his PhD thesis on ``Neural Approaches to Co-optimization in Robotics’’!!! |
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July 2022 |
Congratulations to Jiading Fang for having his paper on learning consistent multi-view scene representations accepted at ECCV! |
April 2022 |
Congratulations to Chip Schaff for having his paper on co-optimization of soft robots accepted at RSS! |
April 2022 |
Takuma Yoneda’s paper on learning invariant representations for RL was accepted at RSS. Congrats! |
January 2022 |
Congratulations to Jiading Fang for having his paper on self-supervised camera calibration accepted at ICRA! |
Older news is available here.