5 papers
Volumetric Ergodic Control
Jueun Kwon, Max M. Sun, Todd Murphey
Ergodic control synthesizes optimal coverage behaviors over spatial distributions for nonlinear systems. However, existing formulations model the robot as a non-volumetric point, w…
Structured Imitation Learning of Interactive Policies through Inverse Games
Max M. Sun, Todd Murphey
Generative model-based imitation learning methods have recently achieved strong results in learning high-complexity motor skills from human demonstrations. However, imitation learn…
Scalable Coverage Trajectory Synthesis on GPUs as Statistical Inference
Max M. Sun, Jueun Kwon, Todd Murphey
Coverage motion planning is essential to a wide range of robotic tasks. Unlike conventional motion planning problems, which reason over temporal sequences of states, coverage motio…
Flow Matching Ergodic Coverage
Max Muchen Sun, Allison Pinosky, Todd Murphey
Ergodic coverage effectively generates exploratory behaviors for embodied agents by aligning the spatial distribution of the agent's trajectory with a target distribution, where th…
Fast Ergodic Search with Kernel Functions
Max Muchen Sun, Ayush Gaggar, Peter Trautman +1
Ergodic search enables optimal exploration of an information distribution while guaranteeing the asymptotic coverage of the search space. However, current methods typically have ex…