cs.RO（2025-05-08）

📊 共 14 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (10) 支柱九：具身大模型 (Embodied Foundation Models) (3 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (1)

🔬 支柱一：机器人控制 (Robot Control) (10 篇)

#题目一句话要点标签🔗⭐
1 Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation 提出SYMDEX框架以解决双手对称操控问题 manipulation dexterous manipulation bi-manual
2 Zippy: The smallest power-autonomous bipedal robot 提出Zippy以解决小型双足机器人动力自主性问题 legged robot bipedal biped
3 Robust Model-Based In-Hand Manipulation with Integrated Real-Time Motion-Contact Planning and Tracking 提出集成实时运动接触规划与跟踪的稳健模型基础手内操作方法 manipulation in-hand manipulation model predictive control
4 LVLM-MPC Collaboration for Autonomous Driving: A Safety-Aware and Task-Scalable Control Architecture 提出LVLM与MPC协作以解决自动驾驶安全性与任务可扩展性问题 MPC model predictive control motion planning
5 Real-Time Model Predictive Control of Vehicles with Convex-Polygon-Aware Collision Avoidance in Tight Spaces 提出基于多边形的碰撞避免方法以解决紧凑空间中的车辆运动规划问题 MPC model predictive control motion planning
6 A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles 提出一种物理信息驱动的端到端占用框架以解决自动驾驶车辆运动规划问题 motion planning physically plausible
7 A Vehicle System for Navigating Among Vulnerable Road Users Including Remote Operation 提出一种车辆系统以安全高效地导航于脆弱道路用户之间 MPC model predictive control trajectory optimization
8 Deep Learning Warm Starts for Trajectory Optimization on the International Space Station 提出基于深度学习的热启动方法以加速国际空间站轨迹优化 trajectory optimization
9 CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations 提出CLAM以解决机器人无标签示范学习中的动作标注问题 locomotion manipulation imitation learning
10 Learning to Drive Anywhere with Model-Based Reannotation 提出基于模型的重标注方法以解决机器人导航数据不足问题 quadruped teleoperation

🔬 支柱九：具身大模型 (Embodied Foundation Models) (3 篇)

#题目一句话要点标签🔗⭐
11 CityNavAgent: Aerial Vision-and-Language Navigation with Hierarchical Semantic Planning and Global Memory 提出CityNavAgent以解决城市空中视觉语言导航问题 embodied AI VLN large language model ✅
12 X-Driver: Explainable Autonomous Driving with Vision-Language Models 提出X-Driver以解决闭环自主驾驶的可解释性问题 large language model chain-of-thought
13 Adaptive Stress Testing Black-Box LLM Planners 提出自适应压力测试方法以解决黑箱LLM规划者的幻觉问题 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🔗⭐
14 DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning 提出DSDrive以解决轻量化自主驾驶系统的推理与规划整合问题 distillation large language model

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