1 citations · 1 across the 4 of their papers we have counts for
5 papers
Foundational World Models Accurately Detect Bimanual Manipulator Failures
Isaac R. Ward, Michelle Ho, Houjun Liu +7
Deploying visuomotor robots at scale is challenging due to the potential for anomalous failures to degrade performance, cause damage, or endanger human life. Bimanual manipulators…
Conformal Safety Monitoring for Flight Testing: A Case Study in Data-Driven Safety Learning
Aaron O. Feldman, D. Isaiah Harp, Joseph Duncan +1
We develop a data-driven approach for runtime safety monitoring in flight testing, where pilots perform maneuvers on aircraft with uncertain parameters. Because safety violations c…
SketchPlan: Diffusion Based Drone Planning From Human Sketches
Sixten Norelius, Aaron O. Feldman, Mac Schwager
We propose SketchPlan, a diffusion-based planner that interprets 2D hand-drawn sketches over depth images to generate 3D flight paths for drone navigation. SketchPlan comprises two…
Learning Robot Safety from Sparse Human Feedback using Conformal Prediction
Aaron O. Feldman, Joseph A. Vincent, Maximilian Adang +2
Ensuring robot safety can be challenging; user-defined constraints can miss edge cases, policies can become unsafe even when trained from safe data, and safety can be subjective. T…
Guarantees on Robot System Performance Using Stochastic Simulation Rollouts
Joseph A. Vincent, Aaron O. Feldman, Mac Schwager
We provide finite-sample performance guarantees for control policies executed on stochastic robotic systems. Given an open- or closed-loop policy and a finite set of trajectory rol…