| 1 |
Optimal Gait Control for a Tendon-driven Soft Quadruped Robot by Model-based Reinforcement Learning |
提出基于模型强化学习的软体四足机器人最优步态控制方法 |
quadruped locomotion gait control |
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| 2 |
BAKU: An Efficient Transformer for Multi-Task Policy Learning |
BAKU：一种高效的Transformer架构，用于多任务策略学习 |
manipulation policy learning imitation learning |
✅ |
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| 3 |
A3VLM: Actionable Articulation-Aware Vision Language Model |
提出A3VLM：可操作的、具备关节感知能力的视觉语言模型，提升机器人操作性能。 |
manipulation scene understanding affordance |
✅ |
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| 4 |
Instruct Large Language Models to Drive like Humans |
提出InstructDriver，利用指令调优驱动大语言模型实现类人自动驾驶 |
motion planning large language model |
✅ |
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| 5 |
Optimal Gait Design for a Soft Quadruped Robot via Multi-fidelity Bayesian Optimization |
提出基于多保真贝叶斯优化的软体四足机器人最优步态设计方法 |
quadruped locomotion |
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| 6 |
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions |
提出自适应保形预测以解决高维机器人动作映射问题 |
teleoperation |
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