Chris Paxton

36 papers and 728 indexed citations i.

Chris Paxton has authored 36 papers that have received a total of 728 indexed citations. This includes 24 papers in Computer Vision and Pattern Recognition, 24 papers in Control and Systems Engineering and 19 papers in Artificial Intelligence. The topics of these papers are Robot Manipulation and Learning (23 papers), Robotic Path Planning Algorithms (14 papers) and Reinforcement Learning in Robotics (10 papers). Chris Paxton is often cited by papers focused on Robot Manipulation and Learning (23 papers), Robotic Path Planning Algorithms (14 papers) and Reinforcement Learning in Robotics (10 papers) and collaborates with scholars based in United States, Japan and United Kingdom. Chris Paxton's co-authors include Dieter Fox, Gregory D. Hager, Yu-Wei Chao, Maya Çakmak and Arsalan Mousavian and has published in prestigious journals such as IEEE Robotics and Automation Letters and Advanced Robotics