Modeling, Control and Analysis of Autonomous Search System in Uncertain Environment

Chair:
Jianwen Huo  Southwest University of Science and Technology, China

Key Words: Autonomous Search, Source Search, Mobile Unmanned System, Exploration and Exploitation Trade-off

Information: This session will focus on the latest developments in autonomous search and its applications. Autonomous search, which uses mobile unmanned system to locate and track unknown targets in uncertain environment. The search targets include chemical, biological, radiological and nuclear materials (CBRN), etc. Due to the uncertainty of the environment, the unmanned system in autonomous search needs to complete two tasks: not only to track the target using existing information, but also to detect more information to ensure that the tracking is accurate. Therefore, the problem of autonomous search in an uncertain environment is also a question of how to balance exploration and exploitation. Autonomous search has been widely used in environmental monitoring, disaster management, anti-terrorism search and rescue and other related fields. The unmanned system used is diverse, such as ground unmanned vehicles, aerial drones, underwater unmanned boats, etc. We hope to invite experts in autonomous search research from various backgrounds to share their latest research results and promote the solution of the trade-off between exploration and exploitation in uncertain environments.

Topics of interest include but are not limited to: 

• Mobile Search System in Uncertain Environment
• Exploration and Exploitation Trade-off in Autonomous Search
• Parameter Estimation and Search Strategy
• Active Sensing and Cognitive Search

Submission Deadline: April 28, 2026 (the first round)