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 toTTI-Chicago.
We have openings for a paid summer research position focused on the design, fabrication, and control of soft robots. For more information contact firstname.lastname@example.org.
Together with Andrea Censi, Jacopo Tani, and Liam Paull, we are organizing AI-DO 2021, which will take part this December as part of NeurIPS 2021. AI-DO provides excellent opportunities to develop and benchmark ML and AI approaches to embodied intelligence and is open to anyone.
We are organizing the IROS 2021 Workshop on Evaluating the Broader Impacts of Self-Driving Cars, featuring a great lineup of speakers with expertise in legal, ethical, and safety matters pertaining to self-driving.
Together with folks at TU Darmstadt, the University of Washington, and the Max Planck Institute, we explored our different approaches to the Real Robot Challenge. The corresponding code and paper are available on the project page.
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