Brian Williams
収録論文 21本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning2025/2/1
- Multi-Agent Vulcan: An Information-Driven Multi-Agent Path Finding Approach2024/9/1
- Convex Risk Bounded Continuous-Time Trajectory Planning and Tube Design in Uncertain Nonconvex Environments2023/5/1
- Non-Gaussian Uncertainty Minimization Based Control of Stochastic Nonlinear Robotic Systems2023/3/1
- Real-Time Tube-Based Non-Gaussian Risk Bounded Motion Planning for Stochastic Nonlinear Systems in Uncertain Environments via Motion Primitives2023/3/1
- Chance-Constrained Trajectory Optimization for High-DOF Robots in Uncertain Environments2023/2/1
- Non-Gaussian Risk Bounded Trajectory Optimization for Stochastic Nonlinear Systems in Uncertain Environments2022/3/1
- Real-Time Risk-Bounded Tube-Based Trajectory Safety Verification2021/10/1
- Risk Conditioned Neural Motion Planning2021/8/1
- Automatic Curricula via Expert Demonstrations2021/6/1
- Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments2021/6/1
- Optimal Mixed Discrete-Continuous Planning for Linear Hybrid Systems2021/2/1
- Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances2020/12/1
- An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards2020/10/1
- Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures2020/5/1
- Moment State Dynamical Systems for Nonlinear Chance-Constrained Motion Planning2020/3/1
- Fast Certification of Collision Probability Bounds with Uncertain Convex Obstacles2020/3/1
- Provably Safe Trajectory Optimization in the Presence of Uncertain Convex Obstacles2020/3/1
- Non-Gaussian Chance-Constrained Trajectory Planning for Autonomous Vehicles under Agent Uncertainty2020/2/1
- Improving Trajectory Optimization using a Roadmap Framework2018/11/1
- Chance Constrained Motion Planning for High-Dimensional Robots2018/11/1