Vincent Pacelli

According to our database, Vincent Pacelli authored at least 12 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Feedback Schrödinger Bridge Matching.

Panagiotis Theodoropoulos, Nikolaos Komianos, Vincent Pacelli, Guan-Horng Liu, Evangelos A. Theodorou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Deep Distributed Optimization for Large-Scale Quadratic Programming.

Augustinos D. Saravanos, Hunter Kuperman, Alex Oshin, Arshiya Taj Abdul, Vincent Pacelli, Evangelos A. Theodorou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Operator Splitting Covariance Steering for Safe Stochastic Nonlinear Control.

Akash Ratheesh, Vincent Pacelli, Augustinos D. Saravanos, Evangelos A. Theodorou

CoRR, 2024

2023

Fundamental limits for sensor-based robot control.

Anirudha Majumdar, Zhiting Mei, Vincent Pacelli

Int. J. Robotics Res., October, 2023

2022

Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning.

Anirudha Majumdar, Vincent Pacelli

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy.

Vincent Pacelli, Anirudha Majumdar

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning.

Anoopkumar Sonar, Vincent Pacelli, Anirudha Majumdar

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020

Learning Task-Driven Control Policies via Information Bottlenecks.

Vincent Pacelli, Anirudha Majumdar

Proceedings of the Robotics: Science and Systems XVI, 2020

2019

Task-Driven Estimation and Control via Information Bottlenecks.

Vincent Pacelli, Anirudha Majumdar

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Integration of Local Geometry and Metric Information in Sampling-Based Motion Planning.

Vincent Pacelli, Ömür Arslan, Daniel E. Koditschek

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Sensory steering for sampling-based motion planning.

Ömür Arslan, Vincent Pacelli, Daniel E. Koditschek

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

An Autonomous Vehicle Control Stack.

Alëna Rodionova, Matthew O'Kelly, Houssam Abbas, Vincent Pacelli, Rahul Mangharam

Proceedings of the ARCH17. 4th International Workshop on Applied Verification of Continuous and Hybrid Systems, 2017