Chip Schaff

According to our database, Chip Schaff authored at least 11 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Sim-to-real transfer of co-optimized soft robot crawlers.

Charles B. Schaff, Audrey Sedal, Shiyao Ni, Matthew R. Walter

Auton. Robots, December, 2023

2022

Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation.

Niklas Funk, Charles B. Schaff, Rishabh Madan, Takuma Yoneda, Julen Urain De Jesus, Joe Watson, Ethan K. Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Matthew R. Walter, Jan Peters

IEEE Robotics Autom. Lett., 2022

Neural Approaches to Co-Optimization in Robotics.

Charles B. Schaff

CoRR, 2022

N-LIMB: Neural Limb Optimization for Efficient Morphological Design.

Charles B. Schaff, Matthew R. Walter

CoRR, 2022

Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer.

Charles B. Schaff, Audrey Sedal, Matthew R. Walter

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

2021

A Robot Cluster for Reproducible Research in Dexterous Manipulation.

Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles B. Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Annika Buchholz, Sebastian Stark, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bernhard Schölkopf

CoRR, 2021

Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge.

Takuma Yoneda, Charles B. Schaff, Takahiro Maeda, Matthew R. Walter

CoRR, 2021

2020

Residual Policy Learning for Shared Autonomy.

Charles B. Schaff, Matthew R. Walter

Proceedings of the Robotics: Science and Systems XVI, 2020

2019

Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning.

Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter

Proceedings of the International Conference on Robotics and Automation, 2019

2017

Jointly optimizing placement and inference for beacon-based localization.

Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Bayesian optimization for automated model selection.

Gustavo Malkomes, Chip Schaff, Roman Garnett

Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016