| 1 |
Acrobotics: A Generalist Approach to Quadrupedal Robots' Parkour |
Acrobotics:四足机器人跑酷的通用强化学习方法 |
quadruped legged locomotion locomotion |
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| 2 |
Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization |
提出基于极端形态随机化的多形态通用运动策略,实现零样本迁移 |
quadruped legged robot humanoid |
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| 3 |
MIRAGE: Multimodal Intention Recognition and Admittance-Guided Enhancement in VR-based Multi-object Teleoperation |
提出基于多模态意图识别和虚拟容许控制的VR多物体遥操作框架 |
teleoperation shared control multimodal |
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| 4 |
Language-Guided Long Horizon Manipulation with LLM-based Planning and Visual Perception |
提出基于LLM规划和视觉感知的语言引导长时程操作框架,解决可变形物体操作难题 |
manipulation large language model language conditioned |
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| 5 |
Generalizable Skill Learning for Construction Robots with Crowdsourced Natural Language Instructions, Composable Skills Standardization, and Large Language Model |
提出基于众包自然语言指令和LLM的通用建筑机器人技能学习方法 |
manipulation scene understanding large language model |
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| 6 |
U-ARM : Ultra low-cost general teleoperation interface for robot manipulation |
提出低成本通用遥操作界面U-Arm,用于机器人灵巧操作 |
manipulation teleoperation |
✅ |
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| 7 |
Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance |
Align-Then-stEer框架通过统一潜在空间指导,实现VLA模型在机器人任务上的高效迁移。 |
manipulation cross-embodiment vision-language-action |
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| 8 |
Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots |
提出相机深度模型(CDM),提升机器人操作中深度感知的准确性。 |
manipulation sim-to-real metric depth |
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| 9 |
Physics-Informed Machine Learning with Adaptive Grids for Optical Microrobot Depth Estimation |
提出基于自适应网格的物理信息机器学习方法,用于光镊微型机器人的深度估计。 |
manipulation depth estimation |
✅ |
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| 10 |
Fault-tolerant Model Predictive Control for Spacecraft |
提出一种容错模型预测控制方法,用于航天器在多重执行器故障下的轨迹和定点稳定。 |
model predictive control |
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| 11 |
Systematic Evaluation of Trade-Offs in Motion Planning Algorithms for Optimal Industrial Robotic Work Cell Design |
系统评估运动规划算法折衷方案,优化工业机器人工作站设计 |
motion planning |
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| 12 |
INF-3DP: Implicit Neural Fields for Collision-Free Multi-Axis 3D Printing |
INF-3DP:基于隐式神经场的无碰撞多轴3D打印方法 |
motion planning |
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| 13 |
A Geometric Method for Base Parameter Analysis in Robot Inertia Identification Based on Projective Geometric Algebra |
提出基于射影几何代数的机器人惯性参数辨识几何方法,实现基参数的解析确定。 |
Unitree |
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