Joseph A. Vincent

According to our database, Joseph A. Vincent authored at least 6 papers between 2021 and 2025.

Collaborative distances:

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

2025

Reachable Polyhedral Marching (RPM): An Exact Analysis Tool for Deep-Learned Control Systems.

Joseph A. Vincent, Mac Schwager

IEEE Trans. Neural Networks Learn. Syst., October, 2025

Learning Robot Safety from Sparse Human Feedback using Conformal Prediction.

Aaron O. Feldman, Joseph A. Vincent, Maximilian Adang, Jun En Low, Mac Schwager

CoRR, January, 2025

2024

How Generalizable is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation.

Joseph A. Vincent, Haruki Nishimura, Masha Itkina, Paarth Shah, Mac Schwager, Thomas Kollar

IEEE Robotics Autom. Lett., October, 2024

Guarantees on Robot System Performance Using Stochastic Simulation Rollouts.

Joseph A. Vincent, Aaron O. Feldman, Mac Schwager

IEEE Trans. Robotics, 2024

2022

DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning.

Javier Yu, Joseph A. Vincent, Mac Schwager

IEEE Robotics Autom. Lett., 2022

2021

Reachable Polyhedral Marching (RPM): A Safety Verification Algorithm for Robotic Systems with Deep Neural Network Components.

Joseph A. Vincent, Mac Schwager

Proceedings of the IEEE International Conference on Robotics and Automation, 2021