Krzysztof Choromanski

収録論文 24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

• CLAMP: Contrastive Learning for 3D Multi-View Action-Conditioned Robotic Manipulation Pretraining
  2026/2/1
• Evaluating Gemini Robotics Policies in a Veo World Simulator
  2025/12/1
• Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer
  2025/10/1
• Gemini Robotics: Bringing AI into the Physical World
  2025/3/1
• Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
  2025/2/1
• Achieving Human Level Competitive Robot Table Tennis
  2024/8/1
• Modeling the Real World with High-Density Visual Particle Dynamics
  2024/6/1
• Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity
  2024/4/1
• SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention
  2023/12/1
• Robotic Table Tennis: A Case Study into a High Speed Learning System
  2023/9/1
• RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
  2023/7/28
• RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
  2023/7/1
• Agile Catching with Whole-Body MPC and Blackbox Policy Learning
  2023/6/1
• Multiple View Performers for Shape Completion
  2022/9/1
• Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation
  2022/9/1
• i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops
  2022/7/1
• ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search Spaces
  2021/1/1
• Robotic Table Tennis with Model-Free Reinforcement Learning
  2020/3/1
• Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
  2020/3/1
• ES-MAML: Simple Hessian-Free Meta Learning
  2019/10/1
• Reinforcement Learning with Chromatic Networks for Compact Architecture Search
  2019/7/1
• Optimizing Simulations with Noise-Tolerant Structured Exploration
  2018/5/1
• Structured Evolution with Compact Architectures for Scalable Policy Optimization
  2018/4/1
• Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
  2017/4/1