Robot Intelligence through Perception Lab



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 have openings for a paid summer research position focused on the design, fabrication, and control of soft robots. For more information contact robotics-visiting@ttic.edu.

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.


News

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!

November 2021

TTIC released an article about Keziah as part of the Student Highlights series.

November 2021

TTIC released an article about Chip as part of the Student Highlights series.

Older news is available here.