Feng Gao

収録論文 28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

• Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents
  2026/7/1
• STEAM: Self-Supervised Temporal Ensemble Advantage Modeling for Real-World Robot Learning
  2026/6/1
• LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies
  2026/6/1
• StreamingVLA: Streaming Vision-Language-Action Model with Action Flow Matching and Adaptive Early Observation
  2026/3/1
• Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models
  2026/2/1
• RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI
  2026/2/1
• Learning Natural and Robust Hexapod Locomotion over Complex Terrains via Motion Priors based on Deep Reinforcement Learning
  2025/11/1
• JuggleRL: Mastering Ball Juggling with a Quadrotor via Deep Reinforcement Learning
  2025/9/1
• D3P: Dynamic Denoising Diffusion Policy via Reinforcement Learning
  2025/8/1
• MLM: Learning Multi-task Loco-Manipulation Whole-Body Control for Quadruped Robot with Arm
  2025/8/1
• Force-Compliance MPC and Robot-User CBFs for Interactive Navigation and User-Robot Safety in Hexapod Guide Robots
  2025/8/1
• Spec-VLA: Speculative Decoding for Vision-Language-Action Models with Relaxed Acceptance
  2025/7/30
• What Can RL Bring to VLA Generalization? An Empirical Study
  2025/5/26
• Hysteresis-Aware Neural Network Modeling and Whole-Body Reinforcement Learning Control of Soft Robots
  2025/4/1
• Multi-Robot System for Cooperative Exploration in Unknown Environments: A Survey
  2025/3/1
• VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
  2025/2/1
• Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network
  2025/2/1
• What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study
  2024/12/1
• Neural Internal Model Control: Learning a Robust Control Policy via Predictive Error Feedback
  2024/11/1
• Multi-UAV Formation Control with Static and Dynamic Obstacle Avoidance via Reinforcement Learning
  2024/10/1
• FlightBench: Benchmarking Learning-based Methods for Ego-vision-based Quadrotors Navigation
  2024/6/1
• Multi-Objective Trajectory Planning with Dual-Encoder
  2024/3/1
• Vision-Language Navigation with Embodied Intelligence: A Survey
  2024/2/1
• Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty
  2023/12/1
• OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
  2023/9/1
• Capability Iteration Network for Robot Path Planning
  2021/4/1
• Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes
  2020/11/1
• VRGym: A Virtual Testbed for Physical and Interactive AI
  2019/4/1