Kyle Stachowicz
UC Berkeley
収録論文 21本 ・ フィジカルAI/ロボット学習
ロボット制御
※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
- 行動チャンキングがロボット制御における行動クローニングの性能を向上させる理由ロボット制御2026/8/3
行動チャンキングの性能向上の理由を実験的に検証し、既存の仮説が不十分であることを示し、遅延ポリシーや暗黙のアンサンブル効果が重要であることを明らかにした。
- Why Does Action Chunking Improve Behavioral Cloning Performance in Robotic Control?2026/8/1
- ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities2026/4/1
- MEM: Multi-Scale Embodied Memory for Vision Language Action Models2026/3/1
- SteerVLA: Steering Vision-Language-Action Models in Long-Tail Driving Scenarios2026/2/1
- $π^{*}_{0.6}$: a VLA That Learns From Experience2025/11/18
- $\pi^{*}_{0.6}$: a VLA That Learns From Experience2025/11/1
- Learning to Drive Anywhere with Model-Based Reannotation2025/5/1
- $π_{0.5}$: a Vision-Language-Action Model with Open-World Generalization2025/4/22
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization2025/4/1
- FAST: Efficient Action Tokenization for Vision-Language-Action Models2025/1/16
- FAST: Efficient Action Tokenization for Vision-Language-Action Models2025/1/1
- Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding2025/1/1
- Traversability-Aware Legged Navigation by Learning from Real-World Visual Data2024/10/1
- RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes2024/5/1
- SELFI: Autonomous Self-Improvement with Reinforcement Learning for Social Navigation2024/3/1
- ViNT: A Foundation Model for Visual Navigation2023/6/1
- FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing2023/4/1
- Multimodal Maximum Entropy Dynamic Games2022/1/1
- Optimal-Horizon Model-Predictive Control with Differential Dynamic Programming2021/11/1
- Safety Embedded Differential Dynamic Programming Using Discrete Barrier States2021/5/1