630 citations · 1.3k across the 25 of their papers we have counts for
9 papers · 1 filter
Joint Estimation of Expertise and Reward Preferences From Human Demonstrations
Pamela Carreno-Medrano, Stephen L. Smith, Dana Kulic
When a robot learns from human examples, most approaches assume that the human partner provides examples of optimal behavior. However, there are applications in which the robot lea…
Human-in-the-loop Auditory Cueing Strategy for Gait Modification
Tina LY Wu, Anna Murphy, Chao Chen +1
External feedback in the form of visual, auditory and tactile cues has been used to assist patients to overcome mobility challenges. However, these cues can become less effective o…
Learning to Assist Drone Landings
Kal Backman, Dana Kulić, Hoam Chung
Unmanned aerial vehicles (UAVs) are often used for navigating dangerous terrains, however they are difficult to pilot. Due to complex input-output mapping schemes, limited percepti…
Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning
Cristino de Souza, Rhys Newbury, Akansel Cosgun +3
Pursuit-evasion is the problem of capturing mobile targets with one or more pursuers. We use deep reinforcement learning for pursuing an omni-directional target with multiple, homo…
Strawberry Detection using Mixed Training on Simulated and Real Data
Sunny Goondram, Akansel Cosgun, Dana Kulic
This paper demonstrates how simulated images can be useful for object detection tasks in the agricultural sector, where labeled data can be scarce and costly to collect. We conside…
Learning from Sparse Demonstrations
Wanxin Jin, Todd D. Murphey, Dana Kulić +2
This paper develops the method of Continuous Pontryagin Differentiable Programming (Continuous PDP), which enables a robot to learn an objective function from a few sparsely demons…