| 1 |
Stubborn: A Streamlined and Unified Reinforcement Learning Framework for Robust Motion Tracking and Fall Recovery for Humanoids |
提出Stubborn框架以解决人形机器人运动跟踪与跌倒恢复问题 |
humanoid motion tracking fall recovery |
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| 2 |
SERF: Spatiotemporal Environment and Robot Feature Map for Long-Horizon Mobile Manipulation |
提出SERF以解决长时间移动操作中的环境推理问题 |
manipulation mobile manipulation egocentric |
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| 3 |
WT-UMI: Tactile-based Whole-Body Manipulation via Force-Supervised Contact-Aware Planning |
提出WT-UMI以解决全身机器人操控中的接触力调节问题 |
humanoid manipulation whole-body manipulation |
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| 4 |
Bounding Boxes as Goals: Language-Conditioned Grasping via Neuro-Symbolic Planning |
提出GRASP框架以解决机器人语言理解与抓取任务问题 |
manipulation motion planning open-vocabulary |
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| 5 |
Mana: Dexterous Manipulation of Articulated Tools |
提出Mana框架以解决关节工具的灵巧操控问题 |
manipulation dexterous manipulation in-hand manipulation |
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| 6 |
See Selectively, Act Adaptively: Dual-Level Structural Decomposition for Bimanual Robot Manipulation |
提出双层结构分解以解决双手机器人操控中的视觉与交互问题 |
manipulation bi-manual bimanual manipulation |
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| 7 |
PhysVLA: Towards Physically-Grounded VLA for Embodied Robotic Manipulation |
提出PhysVLA以解决机器人操控中的物理知识缺失问题 |
manipulation vision-language-action VLA |
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| 8 |
Proprioceptive-visual correspondence enables self-other distinction in humanoid robots |
提出自我与他者区分方法以解决人形机器人社交智能问题 |
humanoid humanoid robot motion planning |
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| 9 |
GenHOI: Contact-Aware Humanoid-Object Interaction by Imitating Generated Videos without Task-Specific Training |
提出GenHOI以解决人形机器人与物体交互的挑战 |
humanoid humanoid robot bi-manual |
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| 10 |
$\texttt{WEAVER}$, Better, Faster, Longer: An Effective World Model for Robotic Manipulation |
提出WEAVER以解决机器人操作中的世界模型问题 |
manipulation flow matching world model |
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| 11 |
ContactWorld: What Matters in Vision-Tactile World Models for Contact-Rich Manipulation |
提出ContactWorld以解决接触丰富操控中的世界建模问题 |
manipulation world model world models |
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| 12 |
$μ_0$: A Scalable 3D Interaction-Trace World Model |
提出$μ_0$以解决机器人学习中的可扩展性问题 |
manipulation world model world models |
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| 13 |
GIVE: Grounding Human Gestures in Vision-Language-Action Models |
提出GIVE以解决人机交互中手势理解不足的问题 |
manipulation vision-language-action VLA |
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| 14 |
AIR-VLA+: Decoupling Movement and Manipulation via Cascaded Dual-Action Decoders with Asymmetric MoE for Aerial Robots |
提出AIR-VLA+以解决无人机运动与操作耦合问题 |
manipulation flow matching VLA |
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| 15 |
GeoHAT: Geometry-Adaptive Hybrid Action Transformer for Mobile Manipulation |
提出GeoHAT以解决移动操控中的几何感知与动作生成问题 |
manipulation mobile manipulation foundation model |
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| 16 |
EA-WM: Event-Aware World Models with Task-Specification Grounding for Long-Horizon Manipulation |
提出EA-WM框架以解决长时间操作中的事件感知问题 |
manipulation world model world models |
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| 17 |
Trajectory-Level Redirection Attacks on Vision-Language-Action Models |
提出轨迹级重定向攻击以揭示VLA模型的脆弱性 |
manipulation vision-language-action VLA |
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| 18 |
MCR-Bionic Hand: Anatomical Structural Priors for Dexterous Manipulation |
提出MCR-Bionic手以解决灵巧机器人手的控制问题 |
manipulation dexterous manipulation |
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| 19 |
Y-BotFrame: An Extensible Embodied Agent Framework for Quadruped Robot Assistants |
提出Y-BotFrame以解决四足机器人智能助手的模块化与交互问题 |
quadruped large language model multimodal |
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| 20 |
Efficient Domain-Adaptive Policy Learning via Kernel Representation with Application to Quadrotor Control under Non-Stationary Disturbances |
提出高效领域自适应策略学习算法以解决四旋翼控制中的非平稳干扰问题 |
sim-to-real policy learning differentiable simulation |
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| 21 |
SPARC: Reliable Spatial Annotations from Robot Demonstrations at Scale |
提出SPARC框架以解决机器人演示标注可靠性问题 |
manipulation motion planning foundation model |
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| 22 |
FTP-1: A Generalist Foundation Tactile Policy Across Tactile Sensors for Contact-Rich Manipulation |
提出FTP-1以解决触觉传感器通用性不足的问题 |
manipulation |
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| 23 |
RoboProcessBench: Benchmarking Process-Aware Understanding in Vision-Language Robotic Manipulation |
提出RoboProcessBench以解决视觉语言机器人操作过程理解不足的问题 |
manipulation |
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| 24 |
Redesigning Regularization for Effective Policy Smoothing |
提出新正则化设计以有效平滑强化学习策略 |
quadruped sim-to-real reinforcement learning |
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| 25 |
An Attention-based Model for Robust Forecasting with Missing Modality |
提出基于注意力的模型以解决缺失模态的鲁棒预测问题 |
manipulation multimodal |
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| 26 |
Improving Robotic Generalist Policies via Flow Reversal Steering |
提出流反向引导以改善机器人通用策略 |
manipulation reinforcement learning flow matching |
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| 27 |
Towards Reliable Sequential Object Picking in Clutter: The Runner-up Solution to RGMC 2025 |
提出集成硬件软件管道以解决杂乱环境中的顺序物体抓取问题 |
manipulation |
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