| 1 |
Heuristic Step Planning for Learning Dynamic Bipedal Locomotion: A Comparative Study of Model-Based and Model-Free Approaches |
提出基于启发式步态规划的动态双足运动学习框架,提升鲁棒性 |
humanoid humanoid robot bipedal |
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| 2 |
GauDP: Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies |
GauDP:通过高斯图像协同的扩散策略重塑多智能体协作 |
manipulation imitation learning scene understanding |
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| 3 |
Real-Time Learning of Predictive Dynamic Obstacle Models for Robotic Motion Planning |
提出一种基于Hankel-DMD的实时动态障碍物预测模型,用于机器人运动规划。 |
motion planning predictive model |
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| 4 |
When Semantics Connect the Swarm: LLM-Driven Fuzzy Control for Cooperative Multi-Robot Underwater Coverage |
提出基于LLM的模糊控制框架,解决水下多机器人协同覆盖问题 |
gait localization navigation |
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| 5 |
URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model |
URDF-Anything:基于3D多模态语言模型构建可动对象 |
sim-to-real world model point cloud |
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| 6 |
Maestro: Orchestrating Robotics Modules with Vision-Language Models for Zero-Shot Generalist Robots |
Maestro:利用视觉-语言模型编排机器人模块,实现零样本通用机器人 |
quadruped manipulation |
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| 7 |
SLAP: Shortcut Learning for Abstract Planning |
SLAP:通过学习抽象规划捷径,提升机器人长时程决策能力 |
motion planning reinforcement learning |
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| 8 |
XFlowMP: Task-Conditioned Motion Fields for Generative Robot Planning with Schrodinger Bridges |
提出XFlowMP,利用薛定谔桥解决任务条件下的生成式机器人运动规划问题。 |
motion planning flow matching |
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