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Chris Paxton — most-cited papers & profile · Computer Vision
← authors
·
overview
Chris Paxton
32
papers ·
95
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Do What I Want, Not What I Did: Imitation of Skills by Planning Sequences of Actions
2016 · 19 citations
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution
2021 · 13 citations
HomeRobot: Open-Vocabulary Mobile Manipulation
2023 · 13 citations
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
2022 · 11 citations
Predicting Stable Configurations for Semantic Placement of Novel Objects
2021 · 10 citations
User Experience of the CoSTAR System for Instruction of Collaborative Robots
2017 · 8 citations
Task and Motion Planning with Large Language Models for Object Rearrangement
2023 · 4 citations
OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics
2024 · 4 citations
Collaborative Behavior Models for Optimized Human-Robot Teamwork
2019 · 3 citations
Representing Robot Task Plans as Robust Logical-Dynamical Systems
2019 · 2 citations
Evaluating Continual Learning on a Home Robot
2023 · 2 citations
CoSTAR: Instructing Collaborative Robots with Behavior Trees and Vision
2016 · 1 citations
Reactive Human-to-Robot Handovers of Arbitrary Objects
2020 · 1 citations
Optimizing robot planning domains to reduce search time for long-horizon planning
2021 · 1 citations
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement
2022 · 1 citations
Topics
Manipulation
Human-Robot Interaction
Perception
Navigation
Control
Sim-to-Real
Multi-Robot
cs.CV
cs.AI
cs.NE