| 1 |
Efficient Computation of Whole-Body Control Utilizing Simplified Whole-Body Dynamics via Centroidal Dynamics |
提出基于质心动力学的简化全身动力学方法,高效计算人形机器人全身控制 |
humanoid humanoid robot whole-body control |
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| 2 |
PLATO: Planning with LLMs and Affordances for Tool Manipulation |
PLATO:利用LLM和可供性进行工具操作的机器人规划系统 |
manipulation affordance large language model |
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| 3 |
TacDiffusion: Force-domain Diffusion Policy for Precise Tactile Manipulation |
TacDiffusion:力域扩散策略实现高精度触觉操作 |
manipulation diffusion policy zero-shot transfer |
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| 4 |
Agile Continuous Jumping in Discontinuous Terrains |
提出一种分层学习控制框架,实现四足机器人在非连续地形上的敏捷连续跳跃。 |
quadruped parkour sim-to-real |
✅ |
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| 5 |
SDP: Spiking Diffusion Policy for Robotic Manipulation with Learnable Channel-Wise Membrane Thresholds |
提出基于脉冲神经网络和可学习阈值的Spiking Diffusion Policy,用于提升机器人操作效率。 |
manipulation diffusion policy |
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| 6 |
RoadRunner M&M -- Learning Multi-range Multi-resolution Traversability Maps for Autonomous Off-road Navigation |
RoadRunner M&M:学习多范围多分辨率地形图,用于自主越野导航 |
legged robot elevation map traversability |
✅ |
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| 7 |
MI-HGNN: Morphology-Informed Heterogeneous Graph Neural Network for Legged Robot Contact Perception |
提出MI-HGNN,利用形态学信息异构图神经网络提升腿足机器人接触感知能力 |
quadruped legged robot |
✅ |
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| 8 |
CageCoOpt: Enhancing Manipulation Robustness through Caging-Guided Morphology and Policy Co-Optimization |
CageCoOpt:通过笼式抓取引导的形态与策略协同优化,提升操作鲁棒性 |
manipulation reinforcement learning |
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| 9 |
Multi-Floor Zero-Shot Object Navigation Policy |
提出多楼层导航策略MFNP,解决零样本物体导航在复杂多楼层环境中的挑战。 |
quadruped Unitree large language model |
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| 10 |
Three Degree-of-Freedom Soft Continuum Kinesthetic Haptic Display for Telemanipulation Via Sensory Substitution at the Finger |
提出一种三自由度软体触觉反馈装置,用于远程操作中手指的触觉替代 |
manipulation |
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| 11 |
Robot Manipulation in Salient Vision through Referring Image Segmentation and Geometric Constraints |
提出CLIPU$^2$Net,结合几何约束,实现基于显著视觉信息的机器人操作 |
manipulation |
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| 12 |
A variational approach to geometric mechanics for undulating robotic locomotion |
基于变分几何力学的波动机器人运动建模与仿真 |
locomotion |
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| 13 |
MoDex: Planning High-Dimensional Dexterous Control via Learning Neural Internal Models |
MoDex:通过学习神经内部模型规划高维灵巧控制 |
dexterous hand large language model |
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| 14 |
Use the Force, Bot! -- Force-Aware ProDMP with Event-Based Replanning |
提出力感知的ProDMP,结合事件驱动的重规划,用于接触丰富的操作任务 |
manipulation |
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