cs.RO（2025-09-25）

📊 共 34 篇论文

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (24) 支柱三：空间感知与语义 (Perception & Semantics) (4) 支柱九：具身大模型 (Embodied Foundation Models) (3) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱四：生成式动作 (Generative Motion) (1)

🔬 支柱一：机器人控制 (Robot Control) (24 篇)

#题目一句话要点标签🔗⭐
1 AnywhereVLA: Language-Conditioned Exploration and Mobile Manipulation AnywhereVLA：面向未见环境的语言条件移动操作框架 manipulation mobile manipulation reachability-aware
2 SEEC: Stable End-Effector Control with Model-Enhanced Residual Learning for Humanoid Loco-Manipulation 提出SEEC框架，通过模型增强残差学习实现人型机器人稳定末端执行器控制 humanoid humanoid robot bipedal
3 RuN: Residual Policy for Natural Humanoid Locomotion 提出RuN：一种残差策略，用于实现自然的人形机器人运动控制 humanoid humanoid robot humanoid locomotion
4 Joint Flow Trajectory Optimization For Feasible Robot Motion Generation from Video Demonstrations 提出Joint Flow Trajectory Optimization框架，解决视频演示学习中的机器人运动生成问题 manipulation trajectory optimization teleoperation
5 RobotDancing: Residual-Action Reinforcement Learning Enables Robust Long-Horizon Humanoid Motion Tracking 提出基于残差动作强化学习的RobotDancing框架，实现鲁棒的人形机器人长时程运动跟踪。 humanoid sim-to-real Unitree
6 MPC-based Deep Reinforcement Learning Method for Space Robotic Control with Fuel Sloshing Mitigation 提出基于MPC的深度强化学习方法，用于抑制燃料晃动空间机器人控制 MPC model predictive control reinforcement learning
7 Multi-Robot Vision-Based Task and Motion Planning for EV Battery Disassembly and Sorting 提出多机器人视觉任务与运动规划框架，用于电动汽车电池拆卸与分拣 motion planning task and motion planning TAMP
8 Towards Versatile Humanoid Table Tennis: Unified Reinforcement Learning with Prediction Augmentation 提出基于预测增强的统一强化学习框架，实现通用人形机器人乒乓球 humanoid locomotion reinforcement learning
9 BiNoMaP: Learning Category-Level Bimanual Non-Prehensile Manipulation Primitives 提出BiNoMaP，学习类别级双臂非抓取操作原语，解决机器人操作泛化性问题。 manipulation bi-manual dual-arm
10 RetoVLA: Reusing Register Tokens for Spatial Reasoning in Vision-Language-Action Models RetoVLA：通过复用Register Tokens增强VLA模型在机器人操作中的空间推理能力 manipulation vision-language-action VLA
11 Suction Leap-Hand: Suction Cups on a Multi-fingered Hand Enable Embodied Dexterity and In-Hand Teleoperation 提出基于吸盘的多指灵巧手SLeap Hand，实现超越人手的灵巧操作与遥操作 manipulation in-hand manipulation sim-to-real
12 Cross-Modal Instructions for Robot Motion Generation 提出CrossInstruct框架，利用跨模态指令生成机器人运动轨迹 teleoperation reinforcement learning motion generation
13 Learning Terrain-Specialized Policies for Adaptive Locomotion in Challenging Environments 提出地形 специализирани политики的分层强化学习框架，提升复杂环境下的机器人运动能力 legged robot locomotion reinforcement learning
14 Autonomous UAV-Quadruped Docking in Complex Terrains via Active Posture Alignment and Constraint-Aware Control 提出一种主动姿态对齐和约束感知控制的无人机-四足机器人复杂地形自主对接框架 quadruped reinforcement learning deep reinforcement learning
15 ImaginationPolicy: Towards Generalizable, Precise and Reliable End-to-End Policy for Robotic Manipulation 提出基于运动导向关键点链的机器人操作端到端策略，提升泛化性与精度 manipulation VLA
16 DAGDiff: Guiding Dual-Arm Grasp Diffusion to Stable and Collision-Free Grasps DAGDiff：引导双臂抓取扩散实现稳定无碰撞的抓取 dual-arm
17 Efficient Differentiable Contact Model with Long-range Influence 提出高效可微长程接触模型，提升机器人控制与优化 locomotion manipulation model predictive control
18 EEG-Driven AR-Robot System for Zero-Touch Grasping Manipulation 提出基于脑电的AR-机器人系统，实现零接触抓取操作，提升运动障碍人士人机交互能力。 manipulation
19 Cyber Racing Coach: A Haptic Shared Control Framework for Teaching Advanced Driving Skills 提出触觉共享控制框架，用于提升驾驶员高阶驾驶技能 shared control
20 Wall Inspector: Quadrotor Control in Wall-proximity Through Model Compensation 提出基于吸力补偿模型预测控制的四旋翼近墙稳定控制方法 MPC model predictive control MAE
21 SLAM-Free Visual Navigation with Hierarchical Vision-Language Perception and Coarse-to-Fine Semantic Topological Planning 提出一种基于视觉语言分层感知和粗细粒度语义拓扑规划的无SLAM视觉导航框架 legged robot locomotion reinforcement learning
22 Generating Stable Placements via Physics-guided Diffusion Models 提出基于物理引导扩散模型的稳定放置生成方法，提升机器人操作的鲁棒性和效率。 manipulation penetration
23 FSGlove: An Inertial-Based Hand Tracking System with Shape-Aware Calibration FSGlove：一种基于惯性传感的、具有形状感知校准的手部追踪系统 manipulation MANO
24 Developing a Mono-Actuated Compliant GeoGami Robot 提出一种单驱动柔性GeoGami机器人，用于形状变换和移动 locomotion

🔬 支柱三：空间感知与语义 (Perception & Semantics) (4 篇)

#题目一句话要点标签🔗⭐
25 Efficient Construction of Implicit Surface Models From a Single Image for Motion Generation FINS：一种基于单张图像快速构建隐式表面模型的方法，用于机器人运动生成。 implicit representation motion generation foundation model
26 Digital Twin-Guided Robot Path Planning: A Beta-Bernoulli Fusion with Large Language Model as a Sensor 提出基于数字孪生的机器人路径规划方法，融合LLM语义理解提升路径安全性 semantic map large language model
27 Real-Time Indoor Object SLAM with LLM-Enhanced Priors 利用LLM增强先验知识，实现实时室内物体SLAM scene understanding large language model
28 SemSight: Probabilistic Bird's-Eye-View Prediction of Multi-Level Scene Semantics for Navigation SemSight：用于导航的多层次场景语义概率鸟瞰图预测 semantic map egocentric

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

#题目一句话要点标签🔗⭐
29 Automotive-ENV: Benchmarking Multimodal Agents in Vehicle Interface Systems 提出 Automotive-ENV 基准测试平台，用于评估车载界面系统中多模态智能体的性能。 multimodal
30 Plan2Evolve: LLM Self-Evolution for Improved Planning Capability via Automated Domain Generation Plan2Evolve：通过自动领域生成实现LLM自进化，提升规划能力 large language model chain-of-thought
31 Building Information Models to Robot-Ready Site Digital Twins (BIM2RDT): An Agentic AI Safety-First Framework BIM2RDT框架：利用Agentic AI构建机器人可用的安全工地数字孪生 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗⭐
32 Normalizing Flows are Capable Visuomotor Policy Learning Models 提出基于Normalizing Flows的视觉运动策略学习模型，提升推理速度和置信度评估。 policy learning diffusion policy
33 Leveraging Temporally Extended Behavior Sharing for Multi-task Reinforcement Learning 提出MT-Lévy，结合行为共享与时序扩展探索，提升多任务强化学习在机器人领域的样本效率。 reinforcement learning

🔬 支柱四：生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗⭐
34 Taxonomy-aware Dynamic Motion Generation on Hyperbolic Manifolds 提出GPHDM以解决机器人运动生成中的层次结构问题 motion generation

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