机器人 / 具身智能

Bridging Research and Practice in Simulation-based Testing of Industrial Robot Navigation Systems

Sajad Khatiri, Francisco Eli Vina Barrientos, Maximilian Wulf, Paolo Tonella, Sebastiano Panichella

机构 * University of Bern, Bern, Switzerland（伯恩大学） 纠错

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

Comments 12 pages, accepted for publication at IEEE/ACM International Conference on Automated Software Engineering (ASE) 2025 - Industry Showcase Track

Identifying Uncertainty in Self-Adaptive Robotics with Large Language Models

Hassan Sartaj, Jalil Boudjadar, Mirgita Frasheri, Shaukat Ali, Peter Gorm Larsen

机构 * Simula Research Laboratory（Simula研究实验室） ； Aarhus University（奥胡斯大学） 纠错

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

Journal ref IEEE Software (2025)

Detecting spills using thermal imaging, pretrained deep learning models, and a robotic platform

Gregory Yeghiyan, Jurius Azar, Devson Butani, Chan-Jin Chung

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

Comments 6 pages

Extending First-order Robotic Motion Planners to Second-order Robot Dynamics

Mayur Sawant, Abdelhamid Tayebi

机构 * Department of Electrical and Computer Engineering, Lakehead University（电气与计算机工程系，拉科夫大学） 纠错

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

Comments 14 pages, 10 figures

Dyna-Mind: Learning to Simulate from Experience for Better AI Agents

Xiao Yu, Baolin Peng, Michel Galley, Hao Cheng, Qianhui Wu, Janardhan Kulkarni, Suman Nath, Zhou Yu, Jianfeng Gao

机构 * Columbia University（哥伦比亚大学） ； Microsoft Research（微软研究院） 纠错

专题命中 机器人数据与评测 ：navigation(abstract)；分类 cs.AI、cs.CV

Goal-oriented Backdoor Attack against Vision-Language-Action Models via Physical Objects

Zirun Zhou, Zhengyang Xiao, Haochuan Xu, Jing Sun, Di Wang, Jingfeng Zhang

机构 * The University of Auckland（奥克兰大学） ； The King Abdullah University of Science and Technology（国王 Abdullah 科学与技术大学） 纠错

专题命中 机器人数据与评测 ：embodied AI(abstract)；分类 cs.CV、cs.LG

SwarmGPT: Combining Large Language Models with Safe Motion Planning for Drone Swarm Choreography

Martin Schuck, Dinushka Orrin Dahanaggamaarachchi, Ben Sprenger, Vedant Vyas, Siqi Zhou, Angela P. Schoellig

机构 * Learning Systems and Robotics Lab（学习系统与机器人实验室） ； Munich Institute of Robotics and Machine Intelligence（慕尼黑机器人与机器智能研究所） ； Technical University of Munich（慕尼黑技术大学） 纠错

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

Comments Accepted at RA-L 2025

PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces

Gursimran Singh, Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Luca Longo

专题命中 机器人数据与评测 ：robotics(abstract)；分类 cs.AI、cs.LG

Comments PLoS One 2025. Project Website: https://neurodiag.github.io/PyNoetic

Journal ref PLoS One 20.8 (2025): e0327791

UltraSeP: Sequence-aware Pre-training for Echocardiography Probe Movement Guidance

Haojun Jiang, Teng Wang, Zhenguo Sun, Yulin Wang, Yang Yue, Yu Sun, Ning Jia, Meng Li, Shaqi Luo, Shiji Song, Gao Huang

机构 * Department of Automation, BNRist, Tsinghua University（自动化系、BNRist、清华大学） ； Beijing Academy of Artifical Intelligence（北京人工智能研究院） 纠错

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

Comments Accepted by Pattern Recognition

FOGMACHINE -- Leveraging Discrete-Event Simulation and Scene Graphs for Modeling Hierarchical, Interconnected Environments under Partial Observations from Mobile Agents

Lars Ohnemus, Nils Hantke, Max Weißer, Kai Furmans

机构 * Institute for Material Handling and Logistics, Karlsruhe Institute of Technology（材料搬运与物流研究所，卡尔斯鲁厄技术大学） 纠错

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

Comments submitted to the IEEE for possible publication; 8 pages, 3 figures, 1 table

SHeRLoc: Synchronized Heterogeneous Radar Place Recognition for Cross-Modal Localization

Hanjun Kim, Minwoo Jung, Wooseong Yang, Ayoung Kim

专题命中 机器人数据与评测 ：robotics(abstract)；分类 cs.RO

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

IF-D: A High-Frequency, General-Purpose Inertial Foundation Dataset for Self-Supervised Learning

Patrick Ferreira, Paula Costa

专题命中 机器人数据与评测 ：navigation(abstract)

Comments 5 pages, 5 figures. Submitted to IEEE ICASSP 2026. Copyright 2026 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses

Understanding the Repeat Curse in Large Language Models from a Feature Perspective

Junchi Yao, Shu Yang, Jianhua Xu, Lijie Hu, Mengdi Li, Di Wang

机构 * Provable Responsible AI and Data Analytics (PRADA) Lab（可证明责任AI与数据 analytics 实验室） ； King Abdullah University of Science and Technology（卡瓦尔阿卜杜勒拉大学科学与技术学院） ； University of Electronic Science and Technology of China（中国电子科学与技术大学） 纠错

专题命中 机器人数据与评测 ：manipulation(abstract)

Comments Accepted by ACL 2025, Findings, Long Paper