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PDF-HR: Pose Distance Fields for Humanoid Robots |
提出PDF-HR:基于位姿距离场的人形机器人运动先验模型 |
humanoid humanoid robot reward shaping |
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| 2 |
GeneralVLA: Generalizable Vision-Language-Action Models with Knowledge-Guided Trajectory Planning |
提出 GeneralVLA,通过知识引导轨迹规划实现机器人零样本操作 |
manipulation behavior cloning affordance |
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| 3 |
HoRD: Robust Humanoid Control via History-Conditioned Reinforcement Learning and Online Distillation |
提出HoRD框架,通过历史条件强化学习和在线蒸馏实现鲁棒的人形机器人控制。 |
humanoid humanoid robot humanoid control |
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| 4 |
A Unified Complementarity-based Approach for Rigid-Body Manipulation and Motion Prediction |
提出Unicomp:一种统一的基于互补性的刚体操作与运动预测方法 |
manipulation predictive model motion prediction |
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| 5 |
EgoActor: Grounding Task Planning into Spatial-aware Egocentric Actions for Humanoid Robots via Visual-Language Models |
EgoActor:通过视觉-语言模型将任务规划融入空间感知的以自我为中心的具身智能动作 |
humanoid humanoid robot locomotion |
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| 6 |
Act, Sense, Act: Learning Non-Markovian Active Perception Strategies from Large-Scale Egocentric Human Data |
提出CoMe-VLA框架,利用大规模人类数据学习非马尔可夫主动感知策略,提升机器人操作能力。 |
humanoid manipulation egocentric |
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| 7 |
Reshaping Action Error Distributions for Reliable Vision-Language-Action Models |
针对连续动作VLA模型,提出基于最小误差熵的训练方法,提升泛化性和鲁棒性 |
manipulation vision-language-action VLA |
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| 8 |
Viewpoint Matters: Dynamically Optimizing Viewpoints with Masked Autoencoder for Visual Manipulation |
提出MAE-Select,利用掩码自编码器动态优化机器人操作的视角选择。 |
manipulation imitation learning masked autoencoder |
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| 9 |
GeoLanG: Geometry-Aware Language-Guided Grasping with Unified RGB-D Multimodal Learning |
GeoLanG:提出几何感知语言引导抓取框架,解决复杂场景下的多模态机器人操作问题。 |
manipulation multimodal |
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| 10 |
ALORE: Autonomous Large-Object Rearrangement with a Legged Manipulator |
ALORE:基于腿式机器人的自主大型物体重排系统,提升复杂环境下的操作效率。 |
whole-body control manipulation loco-manipulation |
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| 11 |
Integrated Exploration and Sequential Manipulation on Scene Graph with LLM-based Situated Replanning |
EPoG:基于LLM情境重规划的场景图探索与序列操作集成框架 |
manipulation large language model |
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| 12 |
Capturing Visual Environment Structure Correlates with Control Performance |
通过环境状态解码评估视觉表征,提升机器人控制策略泛化性 |
manipulation |
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| 13 |
Shaping Expressiveness in Robotics: The Role of Design Tools in Crafting Embodied Robot Movements |
提出一种基于设计工具的机器人表达性运动生成方法,提升人机交互体验 |
manipulation |
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