| 1 |
GET-USE: Learning Generalized Tool Usage for Bimanual Mobile Manipulation via Simulated Embodiment Extensions |
GeT-USE:通过模拟具身扩展学习通用双臂移动操作工具使用 |
manipulation mobile manipulation bi-manual |
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| 2 |
Using VLM Reasoning to Constrain Task and Motion Planning |
VIZ-COAST:利用视觉语言模型推理约束任务与运动规划,提升规划效率。 |
motion planning task and motion planning TAMP |
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| 3 |
SynHLMA:Synthesizing Hand Language Manipulation for Articulated Object with Discrete Human Object Interaction Representation |
SynHLMA:合成具身智能中基于语言指令的手部操作铰接物体序列 |
manipulation imitation learning human-object interaction |
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| 4 |
Sim-to-Real Gentle Manipulation of Deformable and Fragile Objects with Stress-Guided Reinforcement Learning |
提出基于应力引导强化学习的柔性物体轻柔操作方法,实现模拟到真实的迁移 |
manipulation sim-to-real reinforcement learning |
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| 5 |
Debate2Create: Robot Co-design via Large Language Model Debates |
Debate2Create:利用大语言模型辩论实现机器人协同设计 |
quadruped locomotion large language model |
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| 6 |
One-shot Humanoid Whole-body Motion Learning |
提出基于单样本学习的人形机器人全身运动策略训练方法 |
humanoid reinforcement learning human motion |
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| 7 |
Learning to Plan & Schedule with Reinforcement-Learned Bimanual Robot Skills |
提出基于强化学习双臂机器人技能库的规划与调度框架 |
manipulation bi-manual bimanual manipulation |
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| 8 |
Learning Spatial-Aware Manipulation Ordering |
OrderMind:提出空间感知操作排序框架,解决复杂环境中物体操作顺序规划问题 |
manipulation distillation spatial relationship |
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| 9 |
NanoVLA: Routing Decoupled Vision-Language Understanding for Nano-sized Generalist Robotic Policies |
NanoVLA:面向纳米级通用机器人策略的解耦视觉-语言理解 |
manipulation vision-language-action VLA |
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| 10 |
Force Characterization of Insect-Scale Aquatic Propulsion Based on Fluid-Structure Interaction |
基于流固耦合的昆虫尺度水下推进器力特性研究 |
locomotion |
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| 11 |
An approach for combining transparency and motion assistance of a lower body exoskeleton |
提出一种结合透明模式和运动辅助的下肢外骨骼控制方法 |
locomotion |
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| 12 |
Development of Implicit-Explicit Control Based Amphibious Centipede-Type Robot and Evaluation of its Mobile Performance |
提出基于隐式-显式控制的蜈蚣型两栖机器人,优化腿部结构以提升陆地和水域移动性能。 |
locomotion |
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| 13 |
Hybrid Vision Servoing with Depp Alignment and GRU-Based Occlusion Recovery |
提出一种混合视觉伺服方法,结合深度对齐和GRU的遮挡恢复,提升机器人操作的鲁棒性。 |
manipulation |
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