Dmitry Kalashnikov
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
- Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer2025/10/1
- Gemini Robotics: Bringing AI into the Physical World2025/3/1
- Generating Robot Constitutions & Benchmarks for Semantic Safety2025/3/1
- Predictive Red Teaming: Breaking Policies Without Breaking Robots2025/2/1
- Learning the RoPEs: Better 2D and 3D Position Encodings with STRING2025/2/1
- STEER: Flexible Robotic Manipulation via Dense Language Grounding2024/11/1
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models2023/10/1
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control2023/7/28
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control2023/7/1
- RT-1: Robotics Transformer for Real-World Control at Scale2022/12/1
- Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation2022/9/1
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances2022/4/1
- AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale2021/11/1
- MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale2021/4/1
- Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills2021/4/1
- Visionary: Vision architecture discovery for robot learning2021/3/1
- Disentangled Planning and Control in Vision Based Robotics via Reward Machines2020/12/1
- Thinking While Moving: Deep Reinforcement Learning with Concurrent Control2020/4/1
- Learning Precise 3D Manipulation from Multiple Uncalibrated Cameras2020/2/1
- Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks2018/12/1
- QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation2018/6/1