Michael Burke
収録論文 22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
- Quasi-Periodic Gaussian Process Predictive Iterative Learning Control2026/2/1
- Explaining Why Things Go Where They Go: Interpretable Constructs of Human Organizational Preferences2025/12/1
- A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers2024/10/1
- Generating robotic elliptical excisions with human-like tool-tissue interactions2023/9/1
- Rendering Stable Features Improves Sampling-Based Localisation with Neural Radiance Fields2023/9/1
- Intelligent Robotic Sonographer: Mutual Information-based Disentangled Reward Learning from Few Demonstrations2023/7/1
- Motion Perceiver: Real-Time Occupancy Forecasting for Embedded Systems2023/6/1
- Adapting Neural Models with Sequential Monte Carlo Dropout2022/10/1
- Learning robotic cutting from demonstration: Non-holonomic DMPs using the Udwadia-Kalaba method2022/9/1
- Multi-Step First: A Lightweight Deep Reinforcement Learning Strategy for Robust Continuous Control with Partial Observability2022/9/1
- IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates2020/12/1
- Residual Learning from Demonstration: Adapting DMPs for Contact-rich Manipulation2020/8/1
- Action sequencing using visual permutations2020/8/1
- Learning rewards for robotic ultrasound scanning using probabilistic temporal ranking2020/2/1
- Learning Structured Representations of Spatial and Interactive Dynamics for Trajectory Prediction in Crowded Scenes2019/11/1
- Surfing on an uncertain edge: Precision cutting of soft tissue using torque-based medium classification2019/9/1
- Hybrid system identification using switching density networks2019/7/1
- Composing Diverse Policies for Temporally Extended Tasks2019/7/1
- Vid2Param: Modelling of Dynamics Parameters from Video2019/7/1
- Disentangled Relational Representations for Explaining and Learning from Demonstration2019/7/1
- From explanation to synthesis: Compositional program induction for learning from demonstration2019/2/1
- Rapid Probabilistic Interest Learning from Domain-Specific Pairwise Image Comparisons2017/6/1