41
Publications
1.5K
Citations
23
H-Index
2015
Active since
Chris Paxton is an author at University of Washington specializing in engineering, robot learning, and robotics.
Top concepts
EngineeringRobot LearningRoboticsArtificial IntelligenceComputer ScienceIntelligent SystemsField RoboticsComputer VisionMachine LearningAutomation
Publications per year
2015–2024
41
41
Task and Motion Planning with Large Language Models for Object Rearrangement
Yan Ding, Xiaohan Zhang, Chris Paxton et al. · 2023 · 117 citations
Reactive Human-to-Robot Handovers of Arbitrary Objects
Wei Yang, Chris Paxton, Arsalan Mousavian et al. · 2021 · 80 citations
Human-robot Collaborative Assembly, Machine Vision, Arbitrary Objects +15
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