cs.RO（2025-03-31）

📊 共 11 篇论文 | 🔗 3 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (7) 支柱九：具身大模型 (Embodied Foundation Models) (2 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (1) 支柱八：物理动画 (Physics-based Animation) (1 🔗1)

🔬 支柱一：机器人控制 (Robot Control) (7 篇)

#题目一句话要点标签🔗⭐
1 HACTS: a Human-As-Copilot Teleoperation System for Robot Learning 提出HACTS人机协同遥操作系统，提升机器人学习中的人机交互效率 manipulation teleoperation reinforcement learning
2 A Reactive Framework for Whole-Body Motion Planning of Mobile Manipulators Combining Reinforcement Learning and SDF-Constrained Quadratic Programmi 提出结合强化学习与SDF约束二次规划的移动机械臂全身运动规划框架 motion planning reinforcement learning
3 ZeroMimic: Distilling Robotic Manipulation Skills from Web Videos ZeroMimic：从网络视频中蒸馏机器人操作技能，实现零样本迁移。 manipulation imitation learning affordance
4 Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation 提出一种简单有效的Sim-and-Real协同训练方法，提升视觉机器人操作任务性能。 humanoid manipulation
5 AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World AutoEval：一种用于通用机器人操作策略的真实世界自主评估系统 manipulation
6 Disambiguate Gripper State in Grasp-Based Tasks: Pseudo-Tactile as Feedback Enables Pure Simulation Learning 提出基于伪触觉反馈的纯模拟学习方法，解决抓取任务中gripper状态歧义问题 manipulation sim-to-real imitation learning
7 Less is More: Contextual Sampling for Nonlinear Data-Driven Predictive Control Contextual Sampling：一种用于非线性数据驱动预测控制的上下文采样方法 motion planning

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

#题目一句话要点标签🔗⭐
8 SACA: A Scenario-Aware Collision Avoidance Framework for Autonomous Vehicles Integrating LLMs-Driven Reasoning 提出SACA框架，融合LLM推理，提升自动驾驶车辆在极端场景下的避撞能力 large language model ✅
9 GenSwarm: Scalable Multi-Robot Code-Policy Generation and Deployment via Language Models GenSwarm：利用大语言模型实现可扩展的多机器人代码策略生成与部署 large language model ✅

🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗⭐
10 MAER-Nav: Bidirectional Motion Learning Through Mirror-Augmented Experience Replay for Robot Navigation MAER-Nav：通过镜像增强经验回放实现机器人双向运动学习导航 reinforcement learning deep reinforcement learning DRL

🔬 支柱八：物理动画 (Physics-based Animation) (1 篇)

#题目一句话要点标签🔗⭐
11 Enhancing Physical Human-Robot Interaction: Recognizing Digits via Intrinsic Robot Tactile Sensing 利用机器人内置触觉感知，实现物理人机交互中的手写数字识别 spatiotemporal ✅

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