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DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation

Research Groups

Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group

Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

AI

Career

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Perceiving Systems Optics and Sensing Laboratory Conference Paper Capturing and Inferring Dense Full-Body Human-Scene Contact Huang, C. P., Yi, H., Höschle, M., Safroshkin, M., Alexiadis, T., Polikovsky, S., Scharstein, D., Black, M. J. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), :13264-13275, IEEE, Piscataway, NJ, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), June 2022 (Published) project arXiv BSTRO code video DOI URL BibTeX
Optics and Sensing Laboratory Article Bichromatic state-dependent disordered potential for Anderson localization of ultracold atoms Lecoutre, B., Guo, Y., Yu, X., Niranjan, M., Mukhtar, M., Volchkov, V., Aspect, A., Josse, V. European Physical Journal D, 76:218, 2022 () DOI BibTeX