15 papers
Environment Design for Reliable Shared Autonomy with Probabilistic Guarantees
Yi-Shiuan Tung, Himanshu Gupta, Gyanig Kumar +3
Shared autonomy enables humans and robots to collaboratively perform tasks by combining human input with autonomous assistance. Most prior work focuses on improving intent inferenc…
Risk-Aware Preference Learning for Stochastic Outcomes
Yi-Shiuan Tung, Yuni Wu, Wei Jiang +2
Learning reward functions from human preferences is a widely used approach for aligning robot behavior with user expectations in human-robot interaction. Most existing approaches a…
ShelfAware: Real-Time Semantic Localization in Quasi-Static Environments with Low-Cost Sensors
Shivendra Agrawal, Jake Brawer, Ashutosh Naik +2
Many indoor workspaces are quasi-static: their global geometric layout is stable, but local semantics change continually, producing repetitive geometry, dynamic clutter, and percep…
Efficient Multi-Robot Motion Planning with Precomputed Translation-Invariant Edge Bundles
Himanshu Gupta, Paul Motter, Aritra Chakrabarty +5
Solving multi-robot motion planning (MRMP) requires generating collision-free kinodynamically feasible trajectories for multiple interacting robots. We introduce Kinodynamic Transl…
MorphIt: Flexible Spherical Approximation of Robot Morphology for Representation-driven Adaptation
Nataliya Nechyporenko, Yutong Zhang, Sean Campbell +1
What if a robot could rethink its own morphological representation to better meet the demands of diverse tasks? Most robotic systems today treat their physical form as a fixed cons…
Physically Accurate Rigid-Body Dynamics in Particle-Based Simulation
Ava Abderezaei, Nataliya Nechyporenko, Joseph Miceli +2
Robotics demands simulation that can reason about the diversity of real-world physical interactions, from rigid to deformable objects and fluids. Current simulators address this by…