84 citations · 264 across the 36 of their papers we have counts for
3 papers · 1 filter
SYNAPSE: SYmbolic Neural-Aided Preference Synthesis Engine
Sadanand Modak, Noah Patton, Isil Dillig +1
This paper addresses the problem of preference learning, which aims to align robot behaviors through learning user specific preferences (e.g. "good pull-over location") from visual…
Programmatic Imitation Learning from Unlabeled and Noisy Demonstrations
Jimmy Xin, Linus Zheng, Kia Rahmani +4
Imitation Learning (IL) is a promising paradigm for teaching robots to perform novel tasks using demonstrations. Most existing approaches for IL utilize neural networks (NN), howev…
OneVision: Centralized to Distributed Controller Synthesis with Delay Compensation
Jiayi Wei, Tongrui Li, Swarat Chaudhuri +2
We propose a new algorithm to simplify the controller development for distributed robotic systems subject to external observations, disturbances, and communication delays. Unlike p…