3 papers
cs.RO2026
Programming Manufacturing Robots with Imperfect AI: LLMs as Tuning Experts for FDM Print Configuration Selection
Ekta U. Samani, Christopher G. Atkeson
We use fused deposition modeling (FDM) 3D printing as a case study of how manufacturing robots can use imperfect AI to acquire process expertise. In FDM, print configuration strong…
cs.RO2026
Human Preference Modeling Using Visual Motion Prediction Improves Robot Skill Learning from Egocentric Human Video
Mrinal Verghese, Christopher G. Atkeson
We present an approach to robot learning from egocentric human videos by modeling human preferences in a reward function and optimizing robot behavior to maximize this reward. Prio…
cs.RO2024
Skills Made to Order: Efficient Acquisition of Robot Cooking Skills Guided by Multiple Forms of Internet Data
Mrinal Verghese, Christopher Atkeson
This study explores the utility of various internet data sources to select among a set of template robot behaviors to perform skills. Learning contact-rich skills involving tool us…