cs.RO(2025-02-14)

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支柱一:机器人控制 (Robot Control) (8 🔗1) 支柱七:动作重定向 (Motion Retargeting) (1)

🔬 支柱一:机器人控制 (Robot Control) (8 篇)

#题目一句话要点标签🔗
1 BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds BeamDojo:学习在稀疏落脚点上的人形机器人敏捷运动 humanoid humanoid robot humanoid locomotion
2 Diffusion Trajectory-guided Policy for Long-horizon Robot Manipulation 提出基于扩散轨迹引导策略DTP,解决长时程机器人操作中的误差累积问题。 manipulation policy learning imitation learning
3 Video2Policy: Scaling up Manipulation Tasks in Simulation through Internet Videos Video2Policy:利用互联网视频在模拟环境中扩展操作任务 manipulation sim2real real2sim
4 Global-Local Interface for On-Demand Teleoperation 提出全局-局部接口,实现兼顾范围与精度的按需遥操作 manipulation dual-arm teleoperation
5 A Multi-Simulation Approach with Model Predictive Control for Anafi Drones 提出一种多仿真集成方法,结合模型预测控制,提升无人机目标追踪性能。 MPC model predictive control
6 Safety-Critical Human-Machine Shared Driving for Vehicle Collision Avoidance based on Hamilton-Jacobi reachability 提出基于Hamilton-Jacobi可达性分析的强化学习框架,用于人机共驾车辆避撞 reachability-aware shared control reinforcement learning
7 FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction 提出FusionForce,用于端到端可微神经-符号层轨迹预测,提升非结构化地形泛化性。 sim-to-real model predictive control reinforcement learning
8 Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models Manual2Skill:利用视觉-语言模型学习家具组装机器人技能 manipulation motion planning

🔬 支柱七:动作重定向 (Motion Retargeting) (1 篇)

#题目一句话要点标签🔗
9 Prediction uncertainty-aware planning using deep ensembles and trajectory optimisation 提出基于深度集成和轨迹优化的预测不确定性感知规划方法,用于行人环境中安全机器人导航。 human motion

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