| 1 |
Real-time Whole-body Model Predictive Control for Bipedal Locomotion with a Novel Kino-dynamic Model and Warm-start Method |
提出新型运动动力学模型与热启动方法以解决双足机器人实时控制问题 |
bipedal biped whole-body control |
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| 2 |
SMAP: Self-supervised Motion Adaptation for Physically Plausible Humanoid Whole-body Control |
提出SMAP框架以解决人形机器人运动控制稳定性问题 |
humanoid humanoid robot whole-body control |
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| 3 |
Heavy lifting tasks via haptic teleoperation of a wheeled humanoid |
提出一种触觉遥操作框架以解决重物搬运问题 |
humanoid humanoid robot whole-body control |
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| 4 |
URPlanner: A Universal Paradigm For Collision-Free Robotic Motion Planning Based on Deep Reinforcement Learning |
提出URPlanner以解决复杂环境下的无碰撞机器人运动规划问题 |
motion planning reinforcement learning deep reinforcement learning |
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| 5 |
Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning |
提出极值流匹配方法以解决离线目标条件强化学习问题 |
humanoid humanoid robot manipulation |
✅ |
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| 6 |
Integrating emotional intelligence, memory architecture, and gestures to achieve empathetic humanoid robot interaction in an educational setting |
提出情感智能与记忆架构结合的教育机器人以提升学生互动 |
humanoid humanoid robot large language model |
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| 7 |
Whole-body Multi-contact Motion Control for Humanoid Robots Based on Distributed Tactile Sensors |
提出基于分布式触觉传感器的全身多接触运动控制方法以解决人形机器人在狭小环境中的稳定性问题 |
humanoid humanoid robot |
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| 8 |
Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners |
提出RLVR框架以解决多机器人控制中的物理约束问题 |
reachability-aware reinforcement learning large language model |
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| 9 |
GeoPF: Infusing Geometry into Potential Fields for Reactive Planning in Non-trivial Environments |
提出GeoPF以解决传统潜在场方法在复杂环境中的局限性 |
motion planning motion generation reactive motion |
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| 10 |
RFTF: Reinforcement Fine-tuning for Embodied Agents with Temporal Feedback |
提出RFTF以解决现有强化微调方法稀疏奖励问题 |
manipulation behavior cloning vision-language-action |
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| 11 |
EgoZero: Robot Learning from Smart Glasses |
提出EgoZero以解决机器人学习中缺乏人类数据的问题 |
manipulation policy learning egocentric |
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| 12 |
LLA-MPC: Fast Adaptive Control for Autonomous Racing |
提出LLA-MPC以解决自主赛车中的快速适应控制问题 |
MPC model predictive control |
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| 13 |
TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement Learning |
提出TeViR以解决稀疏奖励在强化学习中的低效率问题 |
manipulation reinforcement learning |
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| 14 |
HAND Me the Data: Fast Robot Adaptation via Hand Path Retrieval |
提出HAND方法以解决机器人快速适应新任务的问题 |
manipulation teleoperation |
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| 15 |
Co-Design of Soft Gripper with Neural Physics |
提出一种神经物理共设计框架以优化软抓手设计与抓取姿态 |
manipulation |
✅ |
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