| 1 |
Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning |
提出基于视觉强化学习的感知灵巧控制框架,使模拟人形机器人涌现主动感知和操作能力 |
humanoid whole-body control manipulation |
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| 2 |
Robust Reinforcement Learning-Based Locomotion for Resource-Constrained Quadrupeds with Exteroceptive Sensing |
针对资源受限四足机器人,提出基于外感知的鲁棒强化学习运动控制方法。 |
quadruped locomotion reinforcement learning |
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| 3 |
Adaptive MPC-based quadrupedal robot control under periodic disturbances |
提出基于自适应MPC的四足机器人控制方法,应对周期性扰动 |
quadruped locomotion MPC |
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| 4 |
Design of a 3-DOF Hopping Robot with an Optimized Gearbox: An Intermediate Platform Toward Bipedal Robots |
设计优化齿轮箱的三自由度跳跃机器人,为双足机器人开发提供中间平台。 |
bipedal biped reinforcement learning |
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| 5 |
PartDexTOG: Generating Dexterous Task-Oriented Grasping via Language-driven Part Analysis |
PartDexTOG:提出一种基于语言驱动部件分析的灵巧手任务导向抓取方法 |
manipulation dexterous hand penetration |
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| 6 |
Learning Impact-Rich Rotational Maneuvers via Centroidal Velocity Rewards and Sim-to-Real Techniques: A One-Leg Hopper Flip Case Study |
提出基于质心速度奖励和Sim-to-Real技术学习高冲击旋转动作,以单腿跳跃机器人翻转为例。 |
sim-to-real centroidal dynamics reinforcement learning |
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| 7 |
RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction |
提出RoboFAC框架,用于机器人操作失败分析与纠正,提升VLA模型在真实场景下的鲁棒性。 |
manipulation vision-language-action VLA |
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| 8 |
A Robot Simulation Environment for Virtual Reality Enhanced Underwater Manipulation and Seabed Intervention Tasks |
提出(MARUN)2水下机器人仿真环境,支持VR增强的水下操作与海底干预任务 |
manipulation |
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| 9 |
Scene-Adaptive Motion Planning with Explicit Mixture of Experts and Interaction-Oriented Optimization |
提出EMoE-Planner,通过显式混合专家和交互优化实现场景自适应的运动规划。 |
motion planning |
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