The Workshop @ 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) on

Towards Resilient Navigation in the Wild

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Date

October 24, 2025

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Time

8:30 AM - 11:50 AM

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Location

Room 404, Hangzhou International Expo Center (HIEC) 353 Benjing Avenue, Xiaoshan District, Hangzhou City, Zhejiang Province, China.




Due to their wide applications in detection and exploration, mapping and prospecting, unmanned reconnaissance, and operations in unstructured environments, the research on resilient navigation in the wild has made significant progress and has been deployed in agriculture, forestry, animal husbandry, emergency rescue, and military, etc. However, the environment perception and motion control of unmanned platform navigation systems are affected by the unstructured, variable, and uncertain characteristics of wild environments. The reliability and stability of unmanned platform navigation systems face huge challenges. This workshop addresses the core challenges of resilient navigation in the wild, with a particular focus on traversability analysis, navigation algorithms, dataset construction, and simulation environment design in complex unstructured environments. It aims to advance the integration of cutting-edge technologies, including embodied intelligence and large-scale model, into resilient navigation, driving progress toward safety, efficiency, and interpretability.



Bringing together leading scholars from top-tier institutions, the workshop facilitates state-of-the-art academic presentations and interdisciplinary discussions. By promoting innovative applications of resilient navigation in the wild, it seeks to establish solid theoretical foundations and technical pathways for the development of trustworthy, interpretable, and highly generalizable resilient navigation systems, driving breakthroughs in autonomous navigation in complex real-world environments.

Workshop Topics

The primary objective of this workshop is to advance the state-of-the-art in resilient navigation in the wild by addressing critical challenges and bridging the gap between conventional structured-environment navigation and the complex demands of off-road settings. The content focuses on the latest developments in robotics and automation, including:

  • Dataset Construction for Resilient Navigation in the Wild: Demands specialized data acquisition strategies and distinctive annotation methods different from structured environments, involving task-specific elements and labels that reflect complex wild terrain and environmental factors .
  • Simulation for Resilient Navigation in the Wild: Generates dangerous, extreme, and complex scenarios hard to capture via conventional simulators or real-world data collection, providing high-quality, cost-effective support for training, testing, and deploying navigation algorithms for unstructured environments .
  • Traversability Analysis and Navigation Algorithm Design: Explores traversability analysis of heterogeneous agents in diverse unstructured environments, laying the foundation for enhancing safety, robustness, and long-range planning capabilities of navigation algorithms .

Tentative Schedule


Time Speaker Talk Title
08:30-08:40 Opening remarks and introduction Workshop Overview
08:40-09:00 Huimin Lu Improving the Autonomy for Articulated Tracked Robots Traversing Rough Terrains
09:00-09:20 Dhruv Shah TBD
09:20-09:40 Zhiguo Lu Study of High Mobility Multi-Locomotion Robot in Wild
09:40-10:00 Weitao Chen Theory and Methodology of Off-Road Mobility Integrating Geomechanical Constraints and Soil Modeling
10:00-10:10 Coffee break
10:10-10:30 Shuhang Zhang Mapping the drifting sea ice with UAV photogrammetry
10:30-10:50 Qingyun Liu Fast Path Planning of Multienvironmental Factors Comprehensive Constraints in Off-Road Environment Constructed by Aggregation Vector Point Method
10:50-11:10 Tong Yan Research on Crossterrainics in Wolf Pack System
11:10-11:30 Wei Li Navigating the Unseen: From State to Motion in the Wild
11:30-11:50 Xuesu Xiao Learning Extreme Off-Road Mobility

Note: The schedule may be adjusted; please refer to the latest update on the workshop website.

Invited Speakers


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卢惠民 / Huimin Lu

卢惠民 / Huimin Lu

College of Intelligence Science and Technology, National University of Defense Technology, China

Dhruv Shah

Dhruv Shah

Department of Electrical and Computer Engineering, Princeton University, America

陆志国 / Zhiguo Lu

陆志国 / Zhiguo Lu

School of Mechanical Engineering and Automation, Northeastern University, China

陈伟涛 / Weitao Chen

陈伟涛 / Weitao Chen

China University of Geosciences, China

张书航 / Shuhang Zhang

张书航 / Shuhang Zhang

School of Geospatial Engineering and Science, Sun Yat-sen University, China

刘清云 / Qingyun Liu

刘清云 / Qingyun Liu

Information Engineering University, China

闫曈 / Tong Yan

闫曈 / Tong Yan

China North Artificial Intelligence & Innovation Research Institute; Collective Intelligence & Collaboration Laboratory, China

李玮 / Wei Li

李玮 / Wei Li

Institute of Computing Technology, Chinese Academy of Sciences, China

Xuesu Xiao

Xuesu Xiao

Department of Computer Science, George Mason University, America



Workshop Organizers

Prof. Dr. Xian Wei

Prof. Dr. Xian Wei

East China Normal University, China

Email: xwei@sei.ecnu.edu.cn

Website: https://github.com/MVPR-Group

Dr. Jian Yang

Dr. Jian Yang

School of Geospatial Information, Information Engineering University, China

Email: jian.yang@tum.de

Dr. Jinpeng Mi

Dr. Jinpeng Mi

University of Shanghai for Science and Technology, China

Email: jp.mi@usst.edu.cn