Brendan Tidd
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
- It's Not Just More Demos: Counterfactual Action Sensitivity Coverage for Data-Efficient Robust Robot Imitation2026/7/1
- AnchorVLA: Anchored Diffusion for Efficient End-to-End Mobile Manipulation2026/4/1
- SPREAD: Subspace Representation Distillation for Lifelong Imitation Learning2026/3/1
- RAPT: Model-Predictive Out-of-Distribution Detection and Failure Diagnosis for Sim-to-Real Humanoid Deployment2026/2/1
- Scalable Multi-Objective Robot Reinforcement Learning through Gradient Conflict Resolution2025/9/18
- Scalable Multi-Objective Robot Reinforcement Learning through Gradient Conflict Resolution2025/9/1
- Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations2025/7/1
- Whole-Body Dynamic Throwing with Legged Manipulators2024/10/1
- M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning2024/10/1
- Shape-Space Deformer: Unified Visuo-Tactile Representations for Robotic Manipulation of Deformable Objects2024/9/1
- Alternative Interfaces for Human-initiated Natural Language Communication and Robot-initiated Haptic Feedback: Towards Better Situational Awareness in Human-Robot Collaboration2024/1/1
- Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review2023/7/1
- Learning Visuo-Motor Behaviours for Robot Locomotion Over Difficult Terrain2023/3/1
- Heterogeneous robot teams with unified perception and autonomy: How Team CSIRO Data61 tied for the top score at the DARPA Subterranean Challenge2023/2/1
- Human-Robot Team Performance Compared to Full Robot Autonomy in 16 Real-World Search and Rescue Missions: Adaptation of the DARPA Subterranean Challenge2022/12/1
- Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics2022/11/1
- Heterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61's Approach to the DARPA Subterranean Challenge2021/4/1
- Passing Through Narrow Gaps with Deep Reinforcement Learning2021/3/1
- Learning Setup Policies: Reliable Transition Between Locomotion Behaviours2021/1/1
- Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts2020/11/1
- Guided Curriculum Learning for Walking Over Complex Terrain2020/10/1