cs.RO(2025-05-12)

📊 共 19 篇论文 | 🔗 2 篇有代码

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支柱一:机器人控制 (Robot Control) (13 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (3) 支柱九:具身大模型 (Embodied Foundation Models) (2 🔗1) 支柱六:视频提取与匹配 (Video Extraction) (1)

🔬 支柱一:机器人控制 (Robot Control) (13 篇)

#题目一句话要点标签🔗
1 ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning 提出ReinboT以提升机器人视觉语言操作的决策能力 manipulation reinforcement learning offline reinforcement learning
2 HuB: Learning Extreme Humanoid Balance 提出HuB框架以解决类人机器人平衡控制问题 humanoid humanoid robot humanoid control
3 Intuitive Human-Robot Interfaces Leveraging on Autonomy Features for the Control of Highly-redundant Robots 提出TelePhysicalOperation接口以解决远程操控高冗余机器人的问题 locomotion manipulation loco-manipulation
4 Neural Brain: A Neuroscience-inspired Framework for Embodied Agents 提出神经大脑框架以解决具身智能代理的动态适应性问题 humanoid humanoid robot embodied AI
5 H$^3$DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning 提出H$^{ extbf{3}}$DP以解决视觉感知与动作预测耦合问题 manipulation bi-manual policy learning
6 DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies 提出DexWild以解决机器人数据收集的高成本问题 manipulation dexterous manipulation teleoperation
7 GelFusion: Enhancing Robotic Manipulation under Visual Constraints via Visuotactile Fusion 提出GelFusion以解决视觉受限下的机器人操作问题 manipulation policy learning imitation learning
8 Virtual Holonomic Constraints in Motion Planning: Revisiting Feasibility and Limitations 重新定义虚拟全向约束以解决运动规划中的可行性问题 motion planning
9 A Framework for Joint Grasp and Motion Planning in Confined Spaces 提出联合抓取与运动规划框架以解决狭小空间中的抓取问题 motion planning
10 Beyond Static Perception: Integrating Temporal Context into VLMs for Cloth Folding 提出BiFold模型以解决衣物折叠中的动态感知问题 manipulation language conditioned
11 Guiding Data Collection via Factored Scaling Curves 提出基于分解缩放曲线的数据收集指导方法以提升模仿学习效果 manipulation imitation learning
12 Improving Trajectory Stitching with Flow Models 提出基于流模型的轨迹拼接方法以解决机器人路径规划问题 manipulation
13 CHD: Coupled Hierarchical Diffusion for Long-Horizon Tasks 提出耦合层次扩散框架以解决长时间任务规划问题 manipulation

🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗
14 What Matters for Batch Online Reinforcement Learning in Robotics? 提出有效的批量在线强化学习方法以解决机器人学习中的数据利用问题 reinforcement learning offline RL imitation learning
15 Average-Reward Maximum Entropy Reinforcement Learning for Global Policy in Double Pendulum Tasks 提出基于平均奖励最大熵强化学习的方法以解决双摆任务 reinforcement learning
16 Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing 提出一种基于实时强化学习的自主赛车框架以解决高性能挑战 reinforcement learning SAC

🔬 支柱九:具身大模型 (Embodied Foundation Models) (2 篇)

#题目一句话要点标签🔗
17 AcoustoBots: A swarm of robots for acoustophoretic multimodal interactions 提出AcoustoBots以解决传统声学操控的局限性 multimodal
18 Pixel Motion as Universal Representation for Robot Control 提出LangToMo框架以实现机器人控制的通用表示 vision-language-action

🔬 支柱六:视频提取与匹配 (Video Extraction) (1 篇)

#题目一句话要点标签🔗
19 TPT-Bench: A Large-Scale, Long-Term and Robot-Egocentric Dataset for Benchmarking Target Person Tracking 提出TPT-Bench数据集以解决机器人视角下目标人物跟踪问题 egocentric embodied AI

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