5 papers
Learning to Assist: Collaborative VLAs for Implicit Human-Robot Collaboration
Leo Xu, Letian Li, Alex Cuellar +1
Human-robot collaboration (HRC) combines the complementary strengths of humans and robots to improve task efficiency. However, many existing collaborative systems rely on hand-engi…
Multi-Cycle Spatio-Temporal Adaptation in Human-Robot Teaming
Alex Cuellar, Michael Hagenow, Julie Shah
Effective human-robot teaming is crucial for the practical deployment of robots in human workspaces. However, optimizing joint human-robot plans remains a challenge due to the diff…
An Alignment-Based Approach to Learning Motions from Demonstrations
Alex Cuellar, Christopher K Fourie, Julie A Shah
Learning from Demonstration (LfD) has shown to provide robots with fundamental motion skills for a variety of domains. Various branches of LfD research (e.g., learned dynamical sys…
Inference of Human-derived Specifications of Object Placement via Demonstration
Alex Cuellar, Ho Chit Siu, Julie A Shah
As robots' manipulation capabilities improve for pick-and-place tasks (e.g., object packing, sorting, and kitting), methods focused on understanding human-acceptable object configu…
Automation from the Worker's Perspective
Ben Armstrong, Valerie K. Chen, Alex Cuellar +2
Common narratives about automation often pit new technologies against workers. The introduction of advanced machine tools, industrial robots, and AI have all been met with concern…