| 1 |
Real-Time Whole-Body Teleoperation of a Humanoid Robot Using IMU-Based Motion Capture with Sim2Sim and Sim2Real Validation |
提出基于IMU的全身动作捕捉系统,实现人形机器人实时遥操作 |
humanoid humanoid robot sim-to-real |
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| 2 |
World Action Models: The Next Frontier in Embodied AI |
提出世界行动模型(WAMs)框架,统一预测状态建模与动作生成,提升具身智能 |
teleoperation policy learning world model |
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| 3 |
Morphologically Equivariant Flow Matching for Bimanual Mobile Manipulation |
提出形态等变流匹配方法以解决双手移动操控问题 |
manipulation mobile manipulation bi-manual |
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| 4 |
RIO: Flexible Real-Time Robot I/O for Cross-Embodiment Robot Learning |
RIO:用于跨具身机器人学习的灵活实时机器人I/O框架 |
humanoid bi-manual teleoperation |
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| 5 |
DexTwist: Dexterous Hand Retargeting for Twist Motion via Mixed Reality-based Teleoperation |
DexTwist:基于混合现实遥操作的灵巧手旋转运动重定向 |
manipulation dexterous hand teleoperation |
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| 6 |
See What Matters: Differentiable Grid Sample Pruning for Generalizable Vision-Language-Action Model |
提出可微网格采样器GridS,用于通用视觉-语言-动作模型中的几何感知型token剪枝。 |
manipulation vision-language-action VLA |
✅ |
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| 7 |
DreamAvoid: Critical-Phase Test-Time Dreaming to Avoid Failures in VLA Policies |
DreamAvoid:关键阶段测试时Dreaming,避免VLA策略失效 |
manipulation vision-language-action VLA |
✅ |
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| 8 |
Learning Action Manifold with Multi-view Latent Priors for Robotic Manipulation |
针对机器人操作,提出基于多视角隐变量先验的动作流形学习方法 |
manipulation vision-language-action VLA |
✅ |
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| 9 |
Mapping Embodied Affective Touch Strategies on a Humanoid Robot |
研究具身情感触摸策略在人型机器人上的映射,揭示身体区域依赖性和约束影响。 |
humanoid humanoid robot |
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| 10 |
NavOL: Navigation Policy with Online Imitation Learning |
NavOL:基于在线模仿学习的导航策略,解决分布偏移和奖励设计难题。 |
domain randomization reinforcement learning imitation learning |
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| 11 |
Offline Policy Evaluation for Manipulation Policies via Discounted Liveness Formulation |
提出基于Liveness的折扣策略评估方法,解决机械臂操作策略的离线评估偏差问题 |
manipulation diffusion policy vision-language-action |
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| 12 |
From Reaction to Anticipation: Proactive Failure Recovery through Agentic Task Graph for Robotic Manipulation |
AgentChord:通过Agentic任务图实现机器人操作的主动故障恢复 |
manipulation bi-manual bimanual manipulation |
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| 13 |
SafeManip: A Property-Driven Benchmark for Temporal Safety Evaluation in Robotic Manipulation |
提出SafeManip以解决机器人操作中的时间安全评估问题 |
manipulation vision-language-action |
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| 14 |
TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning |
TMRL:扩散时间步调制预训练,提升探索能力,实现高效策略微调 |
manipulation reinforcement learning VLA |
✅ |
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| 15 |
X-Imitator: Spatial-Aware Imitation Learning via Bidirectional Action-Pose Interaction |
X-Imitator:通过双向动作-姿态交互实现空间感知模仿学习 |
manipulation imitation learning |
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| 16 |
Cooperative Robotics Reinforced by Collective Perception for Traffic Moderation |
提出基于集体感知增强的合作机器人交通疏导系统,解决非视距路口安全问题 |
humanoid humanoid robot penetration |
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| 17 |
From Imagined Futures to Executable Actions: Mixture of Latent Actions for Robot Manipulation |
提出MoLA:利用混合潜在动作弥合视频预测与机器人操作之间的鸿沟 |
manipulation |
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| 18 |
A Proprioceptive-Only Benchmark for Quadruped State Estimation: ATE, RPE, and Runtime Trade-offs Between Filters and Smoothers |
四足机器人本体感知状态估计基准测试:滤波器与平滑器在ATE、RPE和运行时间上的权衡 |
quadruped |
✅ |
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| 19 |
Sampling-Based Follow-the-Leader Motion Planning for Manipulator-Mounted Continuum Robots |
提出基于采样的随动控制运动规划算法,用于机械臂搭载的连续体机器人。 |
motion planning |
✅ |
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| 20 |
Rainbow Deep Q-Learning with Kinematics-Aware Design for Cooperative Delta and 3-RRS Parallel Robot Insertion |
提出一种结合运动学感知的Rainbow DQN,用于Delta和3-RRS并联机器人协同装配 |
manipulation reinforcement learning deep reinforcement learning |
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| 21 |
Coordinated Diffusion: Generating Multi-Agent Behavior Without Multi-Agent Demonstrations |
CoDi:利用单智能体数据生成多智能体协调行为,无需多智能体演示 |
manipulation imitation learning diffusion policy |
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| 22 |
Learning What Matters: Adaptive Information-Theoretic Objectives for Robot Exploration |
提出QOED自适应信息目标,提升机器人探索中模型参数学习的效率与准确性 |
manipulation reinforcement learning |
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| 23 |
Introducing Environmental Constraints to Grasping Strategies for Paper-Like Flexible Materials Using a Soft Gripper |
针对纸状柔性材料,提出利用环境约束的软抓取策略 |
manipulation |
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