Benjamin Burchfiel
Also known as Benjamin CM Burchfiel
Benjamin Burchfiel coauthored Iterative Residual Policy for Goal-Conditioned Dynamic Manipulation of Deformable Objects. The method learns how changes in action affect a previously observed trajectory, then adjusts actions toward a goal. Benjamin CM Burchfiel and four coauthors received the RSS Best Paper Award. The study tested rope whipping and cloth swinging, using simulation training and physical robot experiments. Burchfiel coauthored Robot Learning as an Empirical Science: Best Practices for Policy Evaluation. The paper addresses evaluation practices for robot learning and the need for reliable comparisons of learned policies.
- Works
- 36
- Citations
- 1,625
- h-index
- 14
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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2022
Learning action corrections
Benjamin Burchfiel coauthored Iterative Residual Policy for Goal-Conditioned Dynamic Manipulation of Deformable Objects. The method learns how changes in action affect a previously observed trajectory, then adjusts actions toward a goal.
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2022
Shared paper award
Benjamin CM Burchfiel and four coauthors received the RSS Best Paper Award. The study tested rope whipping and cloth swinging, using simulation training and physical robot experiments.
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2024 preprint
Evaluating robot policies
Burchfiel coauthored Robot Learning as an Empirical Science: Best Practices for Policy Evaluation. The paper addresses evaluation practices for robot learning and the need for reliable comparisons of learned policies.
Sources and credits
Photo: waldenrobotics.com; The Walden Team; creator not stated. License: Not stated by source. Source: waldenrobotics.com. Cropped to a square and resized. Ask us to remove or replace this photo.