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，利用形态对称性实现灵巧双臂操作的强化学习 manipulation dexterous manipulation bi-manual
2 Zippy: The smallest power-autonomous bipedal robot Zippy：最小的自主动力双足机器人，步频突破纪录 legged robot bipedal biped
3 Robust Model-Based In-Hand Manipulation with Integrated Real-Time Motion-Contact Planning and Tracking 提出一种鲁棒的基于模型的灵巧手内操作框架，实现实时运动-接触规划与跟踪。 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-MPC协同的自动驾驶框架，提升任务可扩展性和安全性 MPC model predictive control motion planning
5 Real-Time Model Predictive Control of Vehicles with Convex-Polygon-Aware Collision Avoidance in Tight Spaces 提出基于多边形近似的车辆MPC实时避障算法，解决狭窄空间导航问题 MPC model predictive control motion planning
6 A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles 提出物理信息融合的端到端占据栅格框架，用于自动驾驶车辆运动规划。 motion planning physically plausible
7 A Vehicle System for Navigating Among Vulnerable Road Users Including Remote Operation 提出基于拓扑驱动模型预测控制的车辆系统，用于在弱势道路使用者环境中安全导航，并支持远程操作。 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轨迹优化加速方法，并在国际空间站Astrobee机器人上完成在轨验证。 trajectory optimization
9 CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations CLAM：用于从无标签演示中学习机器人策略的连续潜在动作模型 locomotion manipulation imitation learning
10 Learning to Drive Anywhere with Model-Based Reannotation 提出基于模型重标注的MBRA框架，提升机器人泛化导航能力。 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 CityNavAgent：基于分层语义规划和全局记忆的空中视觉-语言导航 embodied AI VLN large language model ✅
12 X-Driver: Explainable Autonomous Driving with Vision-Language Models X-Driver：基于视觉-语言模型的具身智能可解释自动驾驶框架 large language model chain-of-thought
13 Characterizing the Robustness of Black-Box LLM Planners Under Perturbed Observations with Adaptive Stress Testing 提出基于自适应压力测试的MCTS方法，评估黑盒LLM规划器在扰动观测下的鲁棒性 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 DSDrive：提出一种轻量级端到端自动驾驶框架，融合推理与规划。 distillation large language model

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