| 1 |
MLM: Learning Multi-task Loco-Manipulation Whole-Body Control for Quadruped Robot with Arm |
提出MLM框架,解决带机械臂的四足机器人多任务全身运动操作控制问题 |
quadruped whole-body control manipulation |
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| 2 |
MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion |
提出MASH方法以优化单一类人机器人运动控制 |
humanoid humanoid robot humanoid locomotion |
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| 3 |
Hybrid Data-Driven Predictive Control for Robust and Reactive Exoskeleton Locomotion Synthesis |
提出混合数据驱动预测控制,实现外骨骼稳健和反应式步态合成 |
bipedal biped locomotion |
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| 4 |
3D FlowMatch Actor: Unified 3D Policy for Single- and Dual-Arm Manipulation |
提出3D FlowMatch Actor,加速3D机器人操作策略学习,并在单双臂任务上取得领先。 |
manipulation bi-manual dual-arm |
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| 5 |
ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver |
ReconVLA:提出重建式视觉-语言-动作模型,提升机器人感知能力 |
manipulation vision-language-action VLA |
✅ |
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| 6 |
GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning |
GenFlowRL:利用生成式对象中心光流塑造奖励,提升视觉强化学习性能 |
manipulation reinforcement learning cross-embodiment |
✅ |
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| 7 |
Robot Policy Evaluation for Sim-to-Real Transfer: A Benchmarking Perspective |
提出机器人策略评估基准,提升模拟到真实环境的策略迁移能力 |
manipulation sim-to-real |
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| 8 |
GhostObjects: Instructing Robots by Manipulating Spatially Aligned Virtual Twins in Augmented Reality |
通过操控虚拟双胞胎GhostObjects指导机器人以解决人机交互问题 |
manipulation teleoperation |
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| 9 |
Utilizing Vision-Language Models as Action Models for Intent Recognition and Assistance |
利用视觉-语言模型增强机器人意图识别与辅助能力 |
manipulation |
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| 10 |
Learning Stack-of-Tasks Management for Redundant Robots |
提出基于遗传编程的Stack-of-Tasks学习框架,用于冗余机器人控制 |
dual-arm |
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