Xi Chen

収録論文 40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

• Hybrid Rigid-Soft Robotic Gripper with Shape Adaptation, Uniform Force Distribution, and Self-Locking Capabilities
  2026/7/1
• Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model
  2026/7/1
• Understanding and Mitigating the Video-Action Generalization Gap via Temporal Ratio
  2026/7/1
• LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories
  2026/6/11
• LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories
  2026/6/1
• AdaReP:Adaptive Re-Planning under Model Mismatch for Neural World-Model Predictive Control
  2026/6/1
• Scalable Behavior Cloning with Open Data, Training, and Evaluation
  2026/6/1
• Learning a Kinodynamic Trajectory Manifold for Impact-Aware Compliant Catching of Fast-Moving Objects
  2026/5/1
• Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching
  2026/2/17
• MobileManiBench: Simplifying Model Verification for Mobile Manipulation
  2026/2/1
• Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching
  2026/2/1
• Scalable Vision-Language-Action Model Pretraining for Robotic Manipulation with Real-Life Human Activity Videos
  2025/10/24
• Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer
  2025/10/1
• Scalable Vision-Language-Action Model Pretraining for Robotic Manipulation with Real-Life Human Activity Videos
  2025/10/1
• An Improved Grey Wolf Optimizer Inspired by Advanced Cooperative Predation for UAV Shortest Path Planning
  2025/6/1
• Gemini Robotics: Bringing AI into the Physical World
  2025/3/1
• UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping
  2024/12/1
• CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation
  2024/11/29
• CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation
  2024/11/1
• MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integration
  2024/7/1
• An Active Search Strategy with Multiple Unmanned Aerial Systems for Multiple Targets
  2024/6/1
• Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs
  2024/3/1
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  2023/10/1
• Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects
  2023/8/1
• 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
• Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN
  2023/5/1
• Self-Supervised Instance Segmentation by Grasping
  2023/5/1
• Transformer-Based Autonomous Driving Models and Deployment-Oriented Compression: A Survey
  2023/4/1
• NeurIPS 2022 Competition: Driving SMARTS
  2022/11/1
• Pre-stressed Bi-stable Hair Clip Mechanism for Faster Swimming Robots
  2022/6/1
• Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
  2021/3/1
• Human-centered collaborative robots with deep reinforcement learning
  2020/7/1
• Flexible Disaster Response of Tomorrow -- Final Presentation and Evaluation of the CENTAURO System
  2019/9/1
• Adversarial Feature Training for Generalizable Robotic Visuomotor Control
  2019/9/1
• Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments
  2018/4/1
• Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation
  2017/10/1
• Parameter Space Noise for Exploration
  2017/6/1
• VIME: Variational Information Maximizing Exploration
  2016/5/1
• Benchmarking Deep Reinforcement Learning for Continuous Control
  2016/4/1