| 1 |
Whole-body MPC for highly redundant legged manipulators: experimental evaluation with a 37 DoF dual-arm quadruped |
提出全身MPC框架以解决高冗余四足机器人运动控制问题 |
quadruped legged locomotion whole-body control |
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| 2 |
Sim-to-Real Learning for Humanoid Box Loco-Manipulation |
提出基于学习的方法以解决人形机器人箱体操控问题 |
humanoid humanoid robot bipedal |
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| 3 |
R-LGP: A Reachability-guided Logic-geometric Programming Framework for Optimal Task and Motion Planning on Mobile Manipulators |
提出R-LGP框架以解决移动操控器的任务与运动规划问题 |
manipulation mobile manipulation reachability-aware |
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| 4 |
Human-oriented Representation Learning for Robotic Manipulation |
提出人本导向的表示学习以提升机器人操作能力 |
manipulation policy learning representation learning |
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| 5 |
Multi-Domain Walking with Reduced-Order Models of Locomotion |
提出基于降阶模型的多域步态控制方法以实现机器人行走 |
bipedal biped locomotion |
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| 6 |
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving |
提出LanguageMPC以解决自动驾驶决策中的高层信息理解问题 |
MPC large language model |
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| 7 |
Incorporating Target Vehicle Trajectories Predicted by Deep Learning Into Model Predictive Controlled Vehicles |
提出基于深度学习的轨迹预测以增强MPC控制的自主车辆决策能力 |
MPC model predictive control motion planning |
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| 8 |
Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own |
提出基础先验强化学习框架以高效解决机器人自主学习问题 |
manipulation reinforcement learning foundation model |
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| 9 |
Speech-Based Human-Exoskeleton Interaction for Lower Limb Motion Planning |
提出基于语音的人机交互策略以优化下肢外骨骼运动规划 |
locomotion motion planning |
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