Nick Hawes

収録論文 31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

• Quantile-Coupled Flow Matching for Distributional Reinforcement Learning
  2026/5/1
• Risk-Aware Reinforcement Learning for Mobile Manipulation
  2026/3/1
• Online Navigation Planning for Long-term Autonomous Operation of Underwater Gliders
  2026/2/1
• Generative Models From and For Sampling-Based MPC: A Bootstrapped Approach For Adaptive Contact-Rich Manipulation
  2025/10/1
• Enhancing Joint Human-AI Inference in Robot Missions: A Confidence-Based Approach
  2025/8/1
• Partially Observable Monte-Carlo Graph Search
  2025/7/1
• A Finite-State Controller Based Offline Solver for Deterministic POMDPs
  2025/5/1
• LUMOS: Language-Conditioned Imitation Learning with World Models
  2025/3/1
• Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles
  2025/3/1
• Decremental Dynamics Planning for Robot Navigation
  2025/3/1
• Joint Decision-Making in Robot Teleoperation: When are Two Heads Better Than One?
  2025/3/1
• No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery
  2024/8/1
• A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers
  2024/8/1
• Robust Pushing: Exploiting Quasi-static Belief Dynamics and Contact-informed Optimization
  2024/4/1
• AutoInspect: Towards Long-Term Autonomous Industrial Inspection
  2024/4/1
• Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring
  2024/4/1
• CC-VPSTO: Chance-Constrained Via-Point-Based Stochastic Trajectory Optimisation for Online Robot Motion Planning under Uncertainty
  2024/2/1
• Effects of Explanation Specificity on Passengers in Autonomous Driving
  2023/7/1
• A Framework for Learning from Demonstration with Minimal Human Effort
  2023/6/1
• VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior
  2022/10/1
• Unbiased Active Inference for Classical Control
  2022/7/1
• Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision Learning
  2022/4/1
• Towards Stochastic Fault-tolerant Control using Precision Learning and Active Inference
  2021/9/1
• Risk-Aware Motion Planning in Partially Known Environments
  2021/9/1
• Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference
  2021/4/1
• Active Inference for Integrated State-Estimation, Control, and Learning
  2020/5/1
• Mixed-Initiative variable autonomy for remotely operated mobile robots
  2019/11/1
• Artificial Intelligence for Long-Term Robot Autonomy: A Survey
  2018/7/1
• Simultaneous Task Allocation and Planning Under Uncertainty
  2018/3/1
• Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work
  2017/2/1
• The STRANDS Project: Long-Term Autonomy in Everyday Environments
  2016/4/1