Joe Watson

収録論文 14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

• Imitation from Heterogeneous Demonstrations using Grounded Latent-Action World Models
  2026/6/1
• Building Gradient by Gradient: Decentralised Energy Functions for Bimanual Robot Assembly
  2025/10/1
• Towards Safe Robot Foundation Models Using Inductive Biases
  2025/5/1
• Towards Safe Robot Foundation Models
  2025/3/1
• Global Tensor Motion Planning
  2024/11/1
• Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes
  2022/10/1
• A Differentiable Newton-Euler Algorithm for Real-World Robotics
  2021/10/1
• Real Robot Challenge: A Robotics Competition in the Cloud
  2021/9/1
• Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation
  2021/5/1
• Efficient Stochastic Optimal Control through Approximate Bayesian Input Inference
  2021/5/1
• Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk
  2021/3/1
• Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning
  2020/11/1
• A Differentiable Newton Euler Algorithm for Multi-body Model Learning
  2020/10/1
• Stochastic Optimal Control as Approximate Input Inference
  2019/10/1