Claire J. Tomlin

収録論文 41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

• EigenSafe: A Spectral Framework for Learning-Based Probabilistic Safety Assessment
  2025/9/1
• Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety
  2025/5/1
• Gait Switching and Enhanced Stabilization of Walking Robots with Deep Learning-based Reachability: A Case Study on Two-link Walker
  2024/9/1
• Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems
  2023/11/1
• Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models
  2023/9/1
• Stranding Risk for Underactuated Vessels in Complex Ocean Currents: Analysis and Controllers
  2023/7/1
• Maximizing Seaweed Growth on Autonomous Farms: A Dynamic Programming Approach for Underactuated Systems Navigating on Uncertain Ocean Currents
  2023/7/1
• Online and Offline Learning of Player Objectives from Partial Observations in Dynamic Games
  2023/2/1
• Optimality Guarantees for Particle Belief Approximation of POMDPs
  2022/10/1
• Computation of Regions of Attraction for Hybrid Limit Cycles Using Reachability: An Application to Walking Robots
  2022/1/1
• Compositional Learning-based Planning for Vision POMDPs
  2021/12/1
• Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning
  2021/12/1
• Towards cyber-physical systems robust to communication delays: A differential game approach
  2021/9/1
• Discretizing Dynamics for Maximum Likelihood Constraint Inference
  2021/9/1
• Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations
  2021/6/1
• Analyzing Human Models that Adapt Online
  2021/3/1
• FaSTrack: a Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking
  2021/2/1
• Scalable Learning of Safety Guarantees for Autonomous Systems using Hamilton-Jacobi Reachability
  2021/1/1
• Voronoi Progressive Widening: Efficient Online Solvers for Continuous State, Action, and Observation POMDPs
  2020/12/1
• Approximate Solutions to a Class of Reachability Games
  2020/11/1
• Encoding Defensive Driving as a Dynamic Nash Game
  2020/11/1
• Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions
  2020/4/1
• Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning
  2020/4/1
• Inference-Based Strategy Alignment for General-Sum Differential Games
  2020/2/1
• A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning
  2019/10/1
• Sparse tree search optimality guarantees in POMDPs with continuous observation spaces
  2019/10/1
• An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics
  2019/10/1
• Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games
  2019/9/1
• An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
  2019/5/1
• A New Simulation Metric to Determine Safe Environments and Controllers for Systems with Unknown Dynamics
  2019/2/1
• Safely Probabilistically Complete Real-Time Planning and Exploration in Unknown Environments
  2018/11/1
• A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance
  2018/11/1
• A Minimum Discounted Reward Hamilton-Jacobi Formulation for Computing Reachable Sets
  2018/9/1
• Robust Tracking with Model Mismatch for Fast and Safe Planning: an SOS Optimization Approach
  2018/8/1
• Probabilistically Safe Robot Planning with Confidence-Based Human Predictions
  2018/6/1
• A Classification-based Approach for Approximate Reachability
  2018/3/1
• Context-Specific Validation of Data-Driven Models
  2018/2/1
• A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems
  2017/5/1
• FaSTrack: a Modular Framework for Fast and Guaranteed Safe Motion Planning
  2017/3/1
• Learning Quadrotor Dynamics Using Neural Network for Flight Control
  2016/10/1
• A sampling-based approach to scalable constraint satisfaction in linear sampled-data systems---Part I: Computation
  2014/5/1