| 1 |
Modular Multi-Level Replanning TAMP Framework for Dynamic Environment |
提出模块化多层次重规划TAMP框架以解决动态环境中的任务与运动规划问题 |
manipulation motion planning task and motion planning |
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| 2 |
Invariance is Key to Generalization: Examining the Role of Representation in Sim-to-Real Transfer for Visual Navigation |
提出基于深度和语义信息的表示以解决视觉导航中的泛化问题 |
sim-to-real foundation model |
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| 3 |
Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning |
提出RoboFuME以解决机器人强化学习中的人工干预问题 |
manipulation reinforcement learning offline reinforcement learning |
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| 4 |
Martian Lava Tube Exploration Using Jumping Legged Robots: A Concept Study |
提出跳跃式腿部机器人以解决火星熔岩管探索挑战 |
legged robot |
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| 5 |
End-to-End Learning of Behavioural Inputs for Autonomous Driving in Dense Traffic |
提出端到端学习行为输入以解决密集交通中的自动驾驶问题 |
model predictive control trajectory optimization motion planning |
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| 6 |
Robotic Arm Manipulation to Perform Rock Skipping in Simulation |
提出机器人臂操控以实现岩石跳跃的仿真研究 |
manipulation |
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| 7 |
Robot Skill Generalization via Keypoint Integrated Soft Actor-Critic Gaussian Mixture Models |
提出KIS-GMM以解决机器人技能泛化问题 |
manipulation |
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