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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

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Autonomous Motion Book Chapter A genetic algorithm for evolution from an ecological perspective Sternad, D., Schaal, S. In 1992 Lectures in Complex Systems, :223-231, (Editors: Nadel, L.;Stein, D.), Addison-Wesley, Redwood City, CA, 1993, clmc () BibTeX
Autonomous Motion Article Design concurrent calculation: A CAD- and data-integrated approach Schaal, S., Ehrlenspiel, K. Journal of Engineering Design, 4:71-85, 1993, clmc () BibTeX
Autonomous Motion Book Chapter Learning passive motor control strategies with genetic algorithms Schaal, S., Sternad, D. In 1992 Lectures in complex systems, :913-918, (Editors: Nadel, L.;Stein, D.), Addison-Wesley, Redwood City, CA, 1993, clmc () URL BibTeX
Autonomous Motion Conference Paper Open loop stable control strategies for robot juggling Schaal, S., Atkeson, C. G. In IEEE International Conference on Robotics and Automation, 3:913-918, Piscataway, NJ: IEEE, Georgia, Atlanta, May 2-6, 1993, clmc () URL BibTeX
Autonomous Motion Conference Paper Roles for memory-based learning in robotics Atkeson, C. G., Schaal, S. In Proceedings of the Sixth International Symposium on Robotics Research, :503-521, Hidden Valley, PA, 1993, clmc () BibTeX