机器人 / 具身智能

LookOut: Real-World Humanoid Egocentric Navigation

Boxiao Pan, Adam W. Harley, C. Karen Liu, Leonidas J. Guibas

机构 * Stanford University（斯坦福大学） 纠错

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

MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Ziyang Luo, Zhiqi Shen, Wenzhuo Yang, Zirui Zhao, Prathyusha Jwalapuram, Amrita Saha, Doyen Sahoo, Silvio Savarese, Caiming Xiong, Junnan Li

机构 * Salesforce AI Research（Salesforce人工智能研究） 纠错

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

Comments Website: https://mcp-universe.github.io

JRDB-Reasoning: A Difficulty-Graded Benchmark for Visual Reasoning in Robotics

Simindokht Jahangard, Mehrzad Mohammadi, Yi Shen, Zhixi Cai, Hamid Rezatofighi

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

Fusing Monocular RGB Images with AIS Data to Create a 6D Pose Estimation Dataset for Marine Vessels

Fabian Holst, Emre Gülsoylu, Simone Frintrop

机构 * University of Hamburg（汉堡大学） 纠错

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

Comments Author version of the submission to the IEEE Journal of Oceanic Engineering

EndoVLA: Dual-Phase Vision-Language-Action Model for Autonomous Tracking in Endoscopy

Chi Kit Ng, Long Bai, Guankun Wang, Yupeng Wang, Huxin Gao, Kun Yuan, Chenhan Jin, Tieyong Zeng, Hongliang Ren

机构 * The Chinese University of Hong Kong（香港中文大学） ； 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 ：robotic(abstract)；分类 cs.RO、cs.AI

A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness

Ningyi Liao, Haoyu Liu, Zulun Zhu, Siqiang Luo, Laks V. S. Lakshmanan

机构 * College of Computing and Data Science（计算与数据科学学院） ； Nanyang Technological University（南洋理工大学） ； The University of British Columbia（不列颠哥伦比亚大学） 纠错

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

Comments Technical Report with Appendix. Our code and evaluation is available at: https://github.com/gdmnl/Spectral-GNN-Benchmark

Journal ref Proceedings of the ACM on Management of Data 3 (SIGMOD 2025), Article 238

VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

Dian Zheng, Ziqi Huang, Hongbo Liu, Kai Zou, Yinan He, Fan Zhang, Lulu Gu, Yuanhan Zhang, Jingwen He, Wei-Shi Zheng, Yu Qiao, Ziwei Liu

机构 * Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） ； S-Lab, Nanyang Technological University（南洋理工大学S实验室） ； Sun Yat-sen University（中山大学） ； The Chinese University of Hong Kong（香港中文大学） 纠错

专题命中 机器人数据与评测 ：world model(abstract)；分类 cs.CV

Comments Equal contributions from first two authors. Project page: https://vchitect.github.io/VBench-2.0-project/ Code: https://github.com/Vchitect/VBench

Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion

Mona Sheikh Zeinoddin, Mobarak I. Hoque, Zafer Tandogdu, Greg Shaw, Matthew J. Clarkson, Evangelos Mazomenos, Danail Stoyanov

机构 * UCL Hawkes Institute, University College London, UK \ mona.zeinoddin.22 ； Interventional Science, University College London, UK 纠错

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

Towards pedestrian head tracking: A benchmark dataset and a multi-source data fusion network

Kailai Sun, Xinwei Wang, Shaobo Liu, Qianchuan Zhao, Gao Huang, Chang Liu

专题命中 机器人数据与评测 ：navigation(abstract)

Comments dataset:https://doi.org/10.34740/kaggle/ds/7494891

Journal ref Engineering Applications of Artificial Intelligence, 158, 111265 (2025)