cs.RO（2025-08-29）

📊 共 12 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (8 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (2 🔗1) 支柱三：空间感知与语义 (Perception & Semantics) (1) 支柱二：RL算法与架构 (RL & Architecture) (1)

🔬 支柱一：机器人控制 (Robot Control) (8 篇)

#题目一句话要点标签🔗⭐
1 First Order Model-Based RL through Decoupled Backpropagation 提出基于模型的强化学习方法以提高学习效率 quadruped bipedal biped
2 ManipDreamer3D : Synthesizing Plausible Robotic Manipulation Video with Occupancy-aware 3D Trajectory 提出ManipDreamer3D以解决机器人操控视频生成中的3D空间模糊问题 manipulation dreamer
3 Robust Convex Model Predictive Control with collision avoidance guarantees for robot manipulators 提出鲁棒凸模型预测控制以解决机器人操控中的碰撞避免问题 MPC model predictive control motion planning
4 RoboInspector: Unveiling the Unreliability of Policy Code for LLM-enabled Robotic Manipulation 提出RoboInspector以解决LLM驱动机器人操作中策略代码不可靠问题 manipulation large language model
5 Dynamics-Compliant Trajectory Diffusion for Super-Nominal Payload Manipulation 提出动态兼容轨迹扩散方法以提升超额负载操作能力 manipulation motion planning
6 Learn from What We HAVE: History-Aware VErifier that Reasons about Past Interactions Online 提出历史感知验证器以解决在线不确定场景问题 manipulation ✅
7 Estimated Informed Anytime Search for Sampling-Based Planning via Adaptive Sampler 提出MIT*以解决高维路径规划中的采样效率问题 manipulation
8 Multi-Modal Model Predictive Path Integral Control for Collision Avoidance 提出多模态模型预测路径积分控制以解决碰撞避免问题 motion planning

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

#题目一句话要点标签🔗⭐
9 Embodied AI in Social Spaces: Responsible and Adaptive Robots in Complex Setting -- UKAIRS 2025 (Copy) 提出负责任且适应性强的多机器人系统以应对复杂社交环境 embodied AI multimodal
10 The Rosario Dataset v2: Multimodal Dataset for Agricultural Robotics 提出多模态数据集以解决农业机器人定位与导航问题 multimodal ✅

🔬 支柱三：空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗⭐
11 Evaluation of Large Language Models for Anomaly Detection in Autonomous Vehicles 提出大语言模型用于自主车辆异常检测的评估方法 open-vocabulary open vocabulary 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🔗⭐
12 Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting 提出神经符号模仿学习框架以解决长时间规划问题 imitation learning diffusion policy

⬅️ 返回 cs.RO 首页 · 🏠 返回主页