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Vincent Pacelli
Vincent Pacelli
Postdoctoral Fellow, Georgia Insitute of Technology
Verified email at gatech.edu
Title
Cited by
Cited by
Year
Invariant policy optimization: Towards stronger generalization in reinforcement learning
A Sonar, V Pacelli, A Majumdar
Learning for Dynamics and Control, 21-33, 2021
482021
Learning task-driven control policies via information bottlenecks
V Pacelli, A Majumdar
arXiv preprint arXiv:2002.01428, 2020
212020
Sensory steering for sampling-based motion planning
O Arslan, V Pacelli, DE Koditschek
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
182017
Integration of local geometry and metric information in sampling-based motion planning
V Pacelli, O Arslan, DE Koditschek
2018 IEEE International Conference on Robotics and Automation (ICRA), 3061-3068, 2018
122018
Task-driven estimation and control via information bottlenecks
V Pacelli, A Majumdar
2019 international conference on robotics and automation (ICRA), 2061-2067, 2019
112019
Robust control under uncertainty via bounded rationality and differential privacy
V Pacelli, A Majumdar
2022 International Conference on Robotics and Automation (ICRA), 3467-3474, 2022
82022
Fundamental performance limits for sensor-based robot control and policy learning
A Majumdar, V Pacelli
Robotics: Science and Systems (RSS), 2022
62022
Fundamental limits for sensor-based robot control
A Majumdar, Z Mei, V Pacelli
The International Journal of Robotics Research 42 (12), 1051-1069, 2023
22023
An autonomous vehicle control stack
A Rodionova, M O'Kelly, H Abbas, V Pacelli, R Mangharam
EPiC Series in Computing 48, 44-51, 2017
22017
Information-Theoretic Necessary and Sufficient Conditions for the Task-Driven Control of Robots
V Pacelli
Princeton University, 2023
2023
Systems of stacking interlocking blocks
R Mangharam, ME O'kelly, VS Pacelli, MA Brady
US Patent 11,213,747, 2022
2022
Robust Control for Robots via Minimal-Information Policies
V Pacelli, A Majumdar
APS March Meeting Abstracts 2021, Y14. 003, 2021
2021
Joint Exploitation of Local Metrics and Geometry in Sampling-based Planning
VS Pacelli
University of Pennsylvania, 2017
2017
An Autonomous Vehicle Control Stack (Benchmark Proposal)
A Rodionova, M O’Kelly, H Abbas, V Pacelli, R Mangharam
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Articles 1–14