8 citations · 11 across the 3 of their papers we have counts for
8 papers · 1 filter
Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges
Brian Hou, Sanjiban Choudhury, Gilwoo Lee +2
Collision checking is a computational bottleneck in motion planning, requiring lazy algorithms that explicitly reason about when to perform this computation. Optimism in the face o…
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts
Gilwoo Lee, Brian Hou, Sanjiban Choudhury +1
Informed and robust decision making in the face of uncertainty is critical for robots that perform physical tasks alongside people. We formulate this as Bayesian Reinforcement Lear…
Towards Effective Human-AI Teams: The Case of Collaborative Packing
Gilwoo Lee, Christoforos Mavrogiannis, Siddhartha S. Srinivasa
We focus on the problem of designing an artificial agent (AI), capable of assisting a human user to complete a task. Our goal is to guide human users towards optimal task performan…
Robot-Assisted Feeding: Generalizing Skewering Strategies across Food Items on a Realistic Plate
Ryan Feng, Youngsun Kim, Gilwoo Lee +5
A robot-assisted feeding system must successfully acquire many different food items. A key challenge is the wide variation in the physical properties of food, demanding diverse acq…
Bayesian Policy Optimization for Model Uncertainty
Gilwoo Lee, Brian Hou, Aditya Mandalika +3
Addressing uncertainty is critical for autonomous systems to robustly adapt to the real world. We formulate the problem of model uncertainty as a continuous Bayes-Adaptive Markov D…
Towards Robotic Feeding: Role of Haptics in Fork-based Food Manipulation
Tapomayukh Bhattacharjee, Gilwoo Lee, Hanjun Song +1
Autonomous feeding is challenging because it requires manipulation of food items with various compliance, sizes, and shapes. To understand how humans manipulate food items during f…