| 1 |
RoMoCo: Robotic Motion Control Toolbox for Reduced-Order Model-Based Locomotion on Bipedal and Humanoid Robots |
RoMoCo:用于双足和人形机器人基于降阶模型的运动控制工具箱 |
humanoid humanoid robot bipedal |
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| 2 |
Eva-VLA: Evaluating Vision-Language-Action Models' Robustness Under Real-World Physical Variations |
Eva-VLA:评估视觉-语言-动作模型在真实物理变化下的鲁棒性 |
manipulation scene understanding vision-language-action |
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| 3 |
Agentic Scene Policies: Unifying Space, Semantics, and Affordances for Robot Action |
提出Agentic Scene Policies以解决复杂指令下的机器人动作问题 |
manipulation motion planning imitation learning |
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| 4 |
Reduced-Order Model-Guided Reinforcement Learning for Demonstration-Free Humanoid Locomotion |
提出基于降阶模型引导的强化学习方法,实现无需演示的人形机器人运动控制 |
humanoid humanoid locomotion locomotion |
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| 5 |
MV-UMI: A Scalable Multi-View Interface for Cross-Embodiment Learning |
MV-UMI:用于跨具身学习的可扩展多视角交互界面 |
manipulation teleoperation imitation learning |
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| 6 |
Pure Vision Language Action (VLA) Models: A Comprehensive Survey |
VLA模型综述:将视觉语言模型从序列生成器转变为机器人控制的主动Agent |
manipulation vision-language-action VLA |
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| 7 |
World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation |
World4RL:利用扩散世界模型和强化学习改进机器人操作策略 |
manipulation sim-to-real reinforcement learning |
✅ |
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| 8 |
VGGT-DP: Generalizable Robot Control via Vision Foundation Models |
提出VGGT-DP,利用视觉基础模型提升机器人操作技能的泛化性 |
manipulation imitation learning VGGT |
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| 9 |
EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data |
EgoBridge:利用领域自适应实现从第一视角人类数据中泛化模仿学习 |
manipulation bi-manual bimanual manipulation |
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| 10 |
ManipForce: Force-Guided Policy Learning with Frequency-Aware Representation for Contact-Rich Manipulation |
ManipForce:提出力引导的策略学习方法,用于接触式操作任务。 |
manipulation policy learning imitation learning |
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| 11 |
Chasing Stability: Humanoid Running via Control Lyapunov Function Guided Reinforcement Learning |
提出基于控制Lyapunov函数引导的强化学习方法,实现人形机器人稳定奔跑 |
humanoid humanoid robot locomotion |
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| 12 |
Bi-VLA: Bilateral Control-Based Imitation Learning via Vision-Language Fusion for Action Generation |
提出Bi-VLA,通过视觉-语言融合的模仿学习,解决机器人单模型多任务动作生成问题。 |
manipulation imitation learning VLA |
✅ |
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| 13 |
SINGER: An Onboard Generalist Vision-Language Navigation Policy for Drones |
SINGER:一种用于无人机的通用视觉-语言导航策略,仅使用机载传感器。 |
manipulation sim-to-real gaussian splatting |
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| 14 |
FUNCanon: Learning Pose-Aware Action Primitives via Functional Object Canonicalization for Generalizable Robotic Manipulation |
FUNCanon:通过功能对象规范化学习姿态感知动作原语,实现通用机器人操作 |
manipulation sim2real policy learning |
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| 15 |
Residual Off-Policy RL for Finetuning Behavior Cloning Policies |
提出残差离线强化学习,微调行为克隆策略,实现高自由度机器人灵巧操作 |
humanoid humanoid robot manipulation |
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| 16 |
Imitation-Guided Bimanual Planning for Stable Manipulation under Changing External Forces |
提出模仿引导的双臂规划框架,解决动态环境下稳定操作的抓取过渡问题。 |
manipulation bi-manual imitation learning |
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| 17 |
PIE: Perception and Interaction Enhanced End-to-End Motion Planning for Autonomous Driving |
PIE:面向自动驾驶,提出感知交互增强的端到端运动规划框架 |
motion planning Mamba scene understanding |
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| 18 |
ROPA: Synthetic Robot Pose Generation for RGB-D Bimanual Data Augmentation |
ROPA:用于RGB-D双臂操作数据增强的合成机器人姿态生成 |
manipulation bi-manual bimanual manipulation |
✅ |
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| 19 |
A Bimanual Gesture Interface for ROS-Based Mobile Manipulators Using TinyML and Sensor Fusion |
提出基于TinyML和传感器融合的双手动势接口,用于ROS移动机械臂控制 |
manipulation bi-manual multimodal |
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| 20 |
3D Flow Diffusion Policy: Visuomotor Policy Learning via Generating Flow in 3D Space |
提出3D FDP,通过生成3D空间中的Flow学习通用机器人操作策略。 |
manipulation policy learning diffusion policy |
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| 21 |
BiGraspFormer: End-to-End Bimanual Grasp Transformer |
BiGraspFormer:端到端双臂抓取Transformer网络,解决复杂物体操作中的协调问题。 |
manipulation bi-manual bimanual manipulation |
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| 22 |
Lang2Morph: Language-Driven Morphological Design of Robotic Hands |
Lang2Morph:提出一种基于语言驱动的机器人手部形态自动设计框架 |
manipulation dexterous hand human-object interaction |
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| 23 |
SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer |
SPiDR:一种基于悲观域随机化的简单零样本安全Sim-to-Real迁移方法 |
sim-to-real domain randomization reinforcement learning |
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| 24 |
Spatial Envelope MPC: High Performance Driving without a Reference |
提出基于空间包络的MPC框架,无需参考轨迹实现高性能自动驾驶。 |
MPC model predictive control reinforcement learning |
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| 25 |
Growing with Your Embodied Agent: A Human-in-the-Loop Lifelong Code Generation Framework for Long-Horizon Manipulation Skills |
提出人机协作的终身代码生成框架,提升长时程操作技能 |
manipulation large language model |
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| 26 |
Do You Need Proprioceptive States in Visuomotor Policies? |
提出State-free策略,解决基于模仿学习的机器人操作中对本体感受状态的过度依赖问题。 |
manipulation whole-body manipulation imitation learning |
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| 27 |
Guaranteed Robust Nonlinear MPC via Disturbance Feedback |
提出基于扰动反馈的鲁棒非线性MPC,保障机器人安全约束与稳定性 |
MPC model predictive control |
✅ |
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| 28 |
N2M: Bridging Navigation and Manipulation by Learning Pose Preference from Rollout |
提出N2M以解决移动操作中导航与操作不一致问题 |
manipulation mobile manipulation |
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| 29 |
DexSkin: High-Coverage Conformable Robotic Skin for Learning Contact-Rich Manipulation |
提出DexSkin以解决机器人触觉感知不足问题 |
manipulation reinforcement learning |
✅ |
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| 30 |
Distributionally Robust Safe Motion Planning with Contextual Information |
提出一种基于上下文信息的分布鲁棒安全运动规划方法,用于解决复杂环境下的避障问题。 |
motion planning |
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| 31 |
MagiClaw: A Dual-Use, Vision-Based Soft Gripper for Bridging the Human Demonstration to Robotic Deployment Gap |
提出MagiClaw以解决人类示范与机器人执行之间的领域差距问题 |
manipulation teleoperation policy learning |
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| 32 |
Spectral Signature Mapping from RGB Imagery for Terrain-Aware Navigation |
提出RS-Net,利用RGB图像预测光谱特征,实现地形感知导航 |
quadruped MPC |
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| 33 |
Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training |
提出基于最优传输的Sim-to-Real策略协同训练框架,提升机器人操作泛化性 |
manipulation behavior cloning |
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| 34 |
Look as You Leap: Planning Simultaneous Motion and Perception for High-DOF Robots |
提出基于神经代理模型的GPU并行感知评分引导概率路线图规划器,解决高自由度机器人运动感知协同规划问题。 |
motion planning |
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| 35 |
Crater Observing Bio-inspired Rolling Articulator (COBRA) |
COBRA:一种用于月球陨石坑探索的仿生滚动关节机器人 |
locomotion |
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| 36 |
SOE: Sample-Efficient Robot Policy Self-Improvement via On-Manifold Exploration |
SOE:基于流形探索的机器人策略自提升,提升采样效率与安全性 |
manipulation |
✅ |
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