机器人 / 具身智能

ComplicitSplat: Downstream Models are Vulnerable to Blackbox Attacks by 3D Gaussian Splat Camouflages

Matthew Hull, Haoyang Yang, Pratham Mehta, Mansi Phute, Aeree Cho, Haorang Wang, Matthew Lau, Wenke Lee, Wilian Lunardi, Martin Andreoni, Duen Horng Chau

专题命中 具身导航 ：navigation(abstract)；robotic(abstract)；分类 cs.CV、cs.LG

Comments 7 pages, 6 figures

Bipedal Balance Control with Whole-body Musculoskeletal Standing and Falling Simulations

Chengtian Ma, Yunyue Wei, Chenhui Zuo, Chen Zhang, Yanan Sui

机构 * Tsinghua University（清华大学） 纠错

专题命中 具身导航 ：robotic(abstract)；分类 cs.RO、cs.AI

Generative World Explorer

Taiming Lu, Tianmin Shu, Alan Yuille, Daniel Khashabi, Jieneng Chen

机构 * Johns Hopkins University（约翰霍普金斯大学） 纠错

专题命中 具身导航 ：embodied AI(abstract)；分类 cs.RO、cs.CV

Comments Website: generative-world-explorer.github.io

Microrobot Vascular Parkour: Analytic Geometry-based Path Planning with Real-time Dynamic Obstacle Avoidance

Yanda Yang, Max Sokolich, Fatma Ceren Kirmizitas, Sambeeta Das, Andreas A. Malikopoulos

机构 * Department of Mechanical Engineering, University of Delaware（德克萨斯大学机械工程系） ； Department of Animal and Food Sciences, University of Delaware（德克萨斯大学动物与食品科学系） ； School of Civil and Environmental Engineering, Cornell University（康奈尔大学土木与环境工程学院） 纠错

专题命中 具身导航 ：navigation(abstract)；分类 cs.RO、cs.AI

Comments 56 pages, 19 figures including Supplementary Materials. Supplementary videos available at https://robotyyd.github.io/yanda-yang.github.io/vascular-parkour.html. Preprint. This version has not been peer reviewed

Plantbot: Integrating Plant and Robot through LLM Modular Agent Networks

Atsushi Masumori, Norihiro Maruyama, Itsuki Doi, johnsmith, Hiroki Sato, Takashi Ikegami

专题命中 具身导航 ：robotic(abstract)；分类 cs.RO、cs.AI

A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence

Penghai Zhao, Xin Zhang, Jiayue Cao, Ming-Ming Cheng, Jian Yang, Xiang Li

机构 * VCIP, CS, Nankai University, Tianjin 300000 , China（VCIP、计算机科学系、南开大学、天津） 纠错

专题命中 具身导航 ：navigation(abstract)；分类 cs.AI、cs.CV

Comments V2, V3, and V4 with incremental quality improvements. V5, V6 introduce major updates

Safe Robust Predictive Control-based Motion Planning of Automated Surface Vessels in Inland Waterways

Sajad Ahmadi, Hossein Nejatbakhsh Esfahani, Javad Mohammadpour Velni

机构 * Dept. of Mechanical Engineering, Clemson University（机械工程系，克莱姆森大学） 纠错

专题命中 具身导航 ：navigation(abstract)；分类 cs.RO

An Adaptive Coverage Control Approach for Multiple Autonomous Off-road Vehicles in Dynamic Agricultural Fields

Sajad Ahmadi, Mohammadreza Davoodi, Javad Mohammadpour Velni

机构 * Dept. of Electrical and Computer Engineering, The University of Memphis, Memphis, TN 38152 USA（电气与计算机工程系，密苏里州孟菲斯大学） 纠错

专题命中 具身导航 ：navigation(abstract)；分类 cs.RO

Automated Hierarchical Graph Construction for Multi-source Electronic Health Records

Yinjie Wang, Doudou Zhou, Yue Liu, Junwei Lu, Tianxi Cai

专题命中 具身导航 ：navigation(abstract)；分类 cs.LG

Safety Meets Speed: Accelerated Neural MPC with Safety Guarantees and No Retraining

Kaikai Wang, Tianxun Li, Liang Xu, Qinglei Hu, Keyou You

机构 * School of Future Technology, Shanghai University（上海大学未来技术学院） ； Department of Automation, Tsinghua University（清华大学自动化系） ； School of Automation Science and Electrical Engineering, Beihang University（北航自动化科学与电气工程学院） 纠错

专题命中 具身导航 ：navigation(abstract)；分类 cs.RO

Comments 12 pages, 9 figures, accepted to RA-L

Adaptive Evolution Factor Risk Ellipse Framework for Reliable and Safe Autonomous Driving

Fujiang Yuan, Zhen Tian, Yangfan He, Guojian Zou, Chunhong Yuan, Yanhong Peng, Zhihao Lin

机构 * College of Mechanical Engineering, Chongqing University of Technology（重庆理工大学机械工程学院） ； James Watt School of Engineering, University of Glasgow（格拉斯哥大学詹姆斯·瓦特工程学院） ； Computer science with the University of Minnesota - Twin Cities（明尼苏达大学双城分校计算机科学） ； College of Transportation Engineering, Tongji University（同济大学交通运输工程学院） ； Laboratory of Intelligent Home Appliances, College of Science and Technology, Ningbo University（宁波大学科技学院智能家电实验室） 纠错

专题命中 具身导航 ：navigation(abstract)；分类 cs.RO

BriLLM: Brain-inspired Large Language Model

Hai Zhao, Hongqiu Wu, Dongjie Yang, Anni Zou, Jiale Hong

机构 * AGI Institute（AGI研究院） ； Computer School（计算机学院） ； Shanghai Jiao Tong University（上海交通大学） 纠错

专题命中 具身导航 ：world model(abstract)；分类 cs.AI

JRN-Geo: A Joint Perception Network based on RGB and Normal images for Cross-view Geo-localization

Hongyu Zhou, Yunzhou Zhang, Tingsong Huang, Fawei Ge, Man Qi, Xichen Zhang, Yizhong Zhang

机构 * College of Information Science and Engineering, Northeastern University（信息科学与工程学院，东北大学） ； School of Computer Science, University of Sheffield（计算机科学学院，谢菲尔德大学） 纠错

专题命中 具身导航 ：navigation(abstract)；分类 cs.CV

SuMa: A Subspace Mapping Approach for Robust and Effective Concept Erasure in Text-to-Image Diffusion Models

Kien Nguyen, Anh Tran, Cuong Pham

机构 * Qualcomm AI Research（高通人工智能研究） 纠错

专题命中 具身导航 ：manipulation(abstract)；分类 cs.CV

Adversarial Obstacle Placement with Spatial Point Processes for Optimal Path Disruption

Li Zhou, Elvan Ceyhan, Polat Charyyev

专题命中 具身导航 ：navigation(abstract)

Mutual Support by Sensor-Attacker Team for a Passive Target

Prajakta Surve, Shaunak D. Bopardikar, Alexander Von Moll, Isaac Weintraub, David W. Casbeer

专题命中 具身导航 ：navigation(abstract)

The Reel Deal: Designing and Evaluating LLM-Generated Short-Form Educational Videos

Lazaros Stavrinou, Argyris Constantinides, Marios Belk, Vasos Vassiliou, Fotis Liarokapis, Marios Constantinides

专题命中 具身导航 ：navigation(abstract)

Comments 9 pages, 3 figures, 1 table

Hierarchical Decision-Making in Population Games

Yu-Wen Chen, Nuno C. Martins, Murat Arcak

专题命中 具身导航 ：navigation(abstract)

MAPF-World: Action World Model for Multi-Agent Path Finding

Zhanjiang Yang, Yang Shen, Yueming Li, Meng Li, Lijun Sun

机构 * Shenzhen Technology University（深圳科技大学） ； University of Technology Sydney（悉尼技术大学） 纠错

专题命中 具身推理 ：world model(title,abstract)；navigation(abstract)；分类 cs.AI

Planning with Reasoning using Vision Language World Model

Delong Chen, Theo Moutakanni, Willy Chung, Yejin Bang, Ziwei Ji, Allen Bolourchi, Pascale Fung

机构 * Meta FAIR 纠错

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

CausNVS: Autoregressive Multi-view Diffusion for Flexible 3D Novel View Synthesis

Xin Kong, Daniel Watson, Yannick Strümpler, Michael Niemeyer, Federico Tombari

机构 * Imperial College London（伦敦帝国学院） ； Google DeepMind（谷歌DeepMind） ； Google（谷歌） ； Technical University of Munich（慕尼黑技术大学） 纠错

专题命中 具身推理 ：world model(abstract)；分类 cs.CV

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms

Zakariae El Asri, Ibrahim Laiche, Clément Rambour, Olivier Sigaud, Nicolas Thome

机构 * Sorbonne Université, CNRS, ISIR（索邦大学、法国国家科学研究中心、ISIR研究所） ； Institut Universitaire de France (IUF)（法国大学机构（IUF）） 纠错

专题命中 模仿学习与强化学习 ：robotic(title,abstract)；分类 cs.LG

Comments IROS 2025

SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies

Nadun Ranawaka Arachchige, Zhenyang Chen, Wonsuhk Jung, Woo Chul Shin, Rohan Bansal, Pierre Barroso, Yu Hang He, Yingyang Celine Lin, Benjamin Joffe, Shreyas Kousik, Danfei Xu

专题命中 模仿学习与强化学习 ：manipulation(abstract)；robotic(abstract)；分类 cs.RO、cs.AI

Comments The first two authors contributed equally. Accepted to CoRL 2025

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning

Matthew Lai, Keegan Go, Zhibin Li, Torsten Kroger, Stefan Schaal, Kelsey Allen, Jonathan Scholz

机构 * Google DeepMind（谷歌DeepMind） ； University College London（伦敦大学学院） ； Intrinsic 纠错

专题命中 模仿学习与强化学习 ：robotic(abstract)；分类 cs.RO、cs.LG；robotics(comments)

Comments Published in Science Robotics

Journal ref RoboBallet: Planning for multirobot reaching with graph neural networks and reinforcement learning. Sci. Robot. 10, eads1204(2025)

Offline vs. Online Learning in Model-based RL: Lessons for Data Collection Strategies

Jiaqi Chen, Ji Shi, Cansu Sancaktar, Jonas Frey, Georg Martius

专题命中 模仿学习与强化学习 ：world model(abstract)；分类 cs.AI、cs.LG

Comments Accepted at Reinforcement Learning Conference (RLC 2025); Code available at: https://github.com/swsychen/Offline_vs_Online_in_MBRL

Collaborative motion planning for multi-manipulator systems through Reinforcement Learning and Dynamic Movement Primitives

Siddharth Singh, Tian Xu, Qing Chang

机构 * Department of Mechanical & Aerospace Engineering, University of Virginia（机械与航空航天工程系，弗吉尼亚大学） 纠错

专题命中 模仿学习与强化学习 ：robotic(abstract)；分类 cs.RO

Comments 7 pages, 7 figures, conference submission

Sharing but Not Caring: Similar Outcomes for Shared Control and Switching Control in Telepresence-Robot Navigation

Juho Kalliokoski, Evan G. Center, Steven M. LaValle, Timo Ojala, Basak Sakcak

机构 * Faculty of Information Technology and Electrical Engineering, University of Oulu（奥卢大学信息科技与电气工程学院） ； Department of Advanced Computing Sciences, Maastricht University（马斯特里赫特大学高级计算科学系） 纠错

专题命中 人机交互与遥操作 ：navigation(title,abstract)；分类 cs.RO

Comments Immersive telepresence, shared control

TeleopLab: Accessible and Intuitive Teleoperation of a Robotic Manipulator for Remote Labs

Ziling Chen, Yeo Jung Yoon, Rolando Bautista-Montesano, Zhen Zhao, Ajay Mandlekar, John Liu

机构 * Learning Engineering and Practice (LEAP) Group, Massachusetts Institute of Technology（学习工程与实践（LEAP）组，麻省理工学院） ； Nvidia, USA（英伟达，美国） 纠错

专题命中 人机交互与遥操作 ：robotic(title,abstract)；分类 cs.RO

Anticipatory Fall Detection in Humans with Hybrid Directed Graph Neural Networks and Long Short-Term Memory

Younggeol Cho, Gokhan Solak, Olivia Nocentini, Marta Lorenzini, Andrea Fortuna, Arash Ajoudani

机构 * Human-Robot Interfaces and Interaction Laboratory (HRI 2 )（人机交互实验室） ； Istituto Italiano di Tecnologia（意大利技术研究院） 纠错

专题命中 人机交互与遥操作 ：robotic(abstract)；分类 cs.RO、cs.CV

Comments Presented at IEEE RO-MAN 2025

Robotic Fire Risk Detection based on Dynamic Knowledge Graph Reasoning: An LLM-Driven Approach with Graph Chain-of-Thought

Haimei Pan, Jiyun Zhang, Qinxi Wei, Xiongnan Jin, Chen Xinkai, Jie Cheng

专题命中 机器人数据与评测 ：robotic(title,abstract)；分类 cs.RO、cs.AI

Comments We have decided to withdraw this paper as the work is still undergoing further refinement. To ensure the clarity of the results, we prefer to make additional improvements before resubmission. We appreciate the readers' understanding