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Patrick Lancaster
Patrick Lancaster
Meta AI
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Cited by
Cited by
Year
MuSHR: A low-cost, open-source robotic racecar for education and research
SS Srinivasa, P Lancaster, J Michalove, M Schmittle, C Summers, ...
arXiv preprint arXiv:1908.08031, 2019
732019
Pre-touch sensing for sequential manipulation
B Yang, P Lancaster, JR Smith
2017 IEEE International Conference on Robotics and Automation (ICRA), 5088-5095, 2017
372017
2D and 3D millimeter-wave synthetic aperture radar imaging on a PR2 platform
CM Watts, P Lancaster, A Pedross-Engel, JR Smith, MS Reynolds
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
292016
Benchmarking robot manipulation with the rubik's cube
B Yang, PE Lancaster, SS Srinivasa, JR Smith
IEEE Robotics and Automation Letters 5 (2), 2094-2099, 2020
282020
Transmissive optical pretouch sensing for robotic grasping
D Guo, P Lancaster, LT Jiang, F Sun, JR Smith
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
182015
Visionless tele-exploration of 3d moving objects
K Huang, P Lancaster, JR Smith, HJ Chizeck
2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2238 …, 2018
162018
Improved object pose estimation via deep pre-touch sensing
P Lancaster, B Yang, JR Smith
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
152017
Improved proximity, contact, and force sensing via optimization of elastomer-air interface geometry
PE Lancaster, JR Smith, SS Srinivasa
2019 International Conference on Robotics and Automation (ICRA), 3797-3803, 2019
132019
Motivating physical activity via competitive human-robot interaction
B Yang, G Habibi, P Lancaster, B Boots, J Smith
Conference on Robot Learning, 839-849, 2022
92022
Optical proximity sensing for pose estimation during in-hand manipulation
P Lancaster, P Gyawali, C Mavrogiannis, SS Srinivasa, JR Smith
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
42022
Electrostatic brakes enable individual joint control of underactuated, highly articulated robots
P Lancaster, C Mavrogiannis, S Srinivasa, J Smith
arXiv preprint arXiv:2204.02460, 2022
32022
MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation
P Lancaster, N Hansen, A Rajeswaran, V Kumar
arXiv preprint arXiv:2309.14236, 2023
12023
Physical Human-Robot Adversarial Gameplay
B Yang, P Lancaster, JR Smith
Robotics: Science and Systems, 2018
12018
Sensing and Actuation Technologies for Dexterous Manipulation in Constrained Environments
P Lancaster
University of Washington, 2022
2022
Prospects for Combining Task and Motion Planning for Bi-Manual Solution of the Rubik’s Cube
B Yang, P Lancaster, JR Smith
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