| 1 |
Semantic Co-Speech Gesture Synthesis and Real-Time Control for Humanoid Robots |
提出基于语义理解的拟人机器人共语姿势生成与实时控制框架 |
humanoid humanoid robot Unitree |
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| 2 |
AnyTask: an Automated Task and Data Generation Framework for Advancing Sim-to-Real Policy Learning |
AnyTask:自动化任务与数据生成框架,推进Sim-to-Real策略学习 |
manipulation sim-to-real motion planning |
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| 3 |
Robotic VLA Benefits from Joint Learning with Motion Image Diffusion |
提出基于运动图像扩散的联合学习方法,提升机器人VLA模型的运动推理能力 |
manipulation optical flow vision-language-action |
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| 4 |
Kinematics-Aware Diffusion Policy with Consistent 3D Observation and Action Space for Whole-Arm Robotic Manipulation |
提出一种基于运动学感知的扩散策略,用于全臂机器人操作 |
whole-body control manipulation policy learning |
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| 5 |
Neuro-Symbolic Control with Large Language Models for Language-Guided Spatial Tasks |
提出神经符号控制框架,利用大语言模型解决语言引导的空间任务 |
manipulation reinforcement learning large language model |
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| 6 |
Flying in Clutter on Monocular RGB by Learning in 3D Radiance Fields with Domain Adaptation |
提出基于3D辐射场和对抗域适应的单目RGB图像无人机复杂环境导航方法 |
sim-to-real 3D gaussian splatting 3DGS |
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| 7 |
UniStateDLO: Unified Generative State Estimation and Tracking of Deformable Linear Objects Under Occlusion for Constrained Manipulation |
UniStateDLO:提出统一的生成式框架,用于遮挡下可变形线性物体的状态估计与跟踪 |
manipulation sim-to-real |
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| 8 |
Towards Senior-Robot Interaction: Reactive Robot Dog Gestures |
面向老年人交互,提出基于强化学习的反应式机器狗手势系统 |
quadruped sim-to-real Unitree |
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| 9 |
Planning as Descent: Goal-Conditioned Latent Trajectory Synthesis in Learned Energy Landscapes |
提出Planning as Descent (PaD),通过学习能量场进行离线目标条件强化学习。 |
manipulation reinforcement learning policy learning |
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| 10 |
Vidarc: Embodied Video Diffusion Model for Closed-loop Control |
Vidarc:用于闭环控制的具身视频扩散模型,提升机器人操作性能。 |
manipulation cross-embodiment |
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