Joseph A. Vincent

11 papers A* 1Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning Robot Safety from Sparse Human Feedback using Conformal Prediction.
CoRR
Aaron O. Feldman, Joseph A. Vincent, Maximilian Adang, Jun En Low, Mac Schwager
2025 J jnl
Reachable Polyhedral Marching (RPM): An Exact Analysis Tool for Deep-Learned Control Systems.
IEEE Trans. Neural Networks Learn. Syst.
Joseph A. Vincent, Mac Schwager
2024 J jnl
Guarantees on Robot System Performance Using Stochastic Simulation Rollouts.
IEEE Trans. Robotics
Joseph A. Vincent, Aaron O. Feldman, Mac Schwager
2024 J jnl
How Generalizable Is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation.
CoRR
Joseph A. Vincent, Haruki Nishimura, Masha Itkina, Paarth Shah, Mac Schwager, Thomas Kollar
2024 J jnl
How Generalizable is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation.
IEEE Robotics Autom. Lett.
Joseph A. Vincent, Haruki Nishimura, Masha Itkina, Paarth Shah, Mac Schwager, Thomas Kollar
2023 J jnl
Guarantees on Robot System Performance Using Stochastic Simulation Rollouts.
CoRR
Joseph A. Vincent, Aaron O. Feldman, Mac Schwager
2022 J jnl
DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning.
IEEE Robotics Autom. Lett.
Javier Yu, Joseph A. Vincent, Mac Schwager
2022 J jnl
Reachable Polyhedral Marching (RPM): An Exact Analysis Tool for Deep-Learned Control Systems.
CoRR
Joseph A. Vincent, Mac Schwager
2021 J jnl
DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning.
CoRR
Javier Yu, Joseph A. Vincent, Mac Schwager
2021 A* conf
Reachable Polyhedral Marching (RPM): A Safety Verification Algorithm for Robotic Systems with Deep Neural Network Components.
ICRA
Joseph A. Vincent, Mac Schwager
2020 J jnl
Reachable Polyhedral Marching (RPM): A Safety Verification Algorithm for Robotic Systems with Deep Neural Network Components.
CoRR
Joseph A. Vincent, Mac Schwager