Special Session 22 会议特别专题 22
Perception-Driven Control in Multi-Modal Sensor Networks
Description: The rapid development of
multi-modal sensing technologies enables sensor
networks to acquire complementary information from
heterogeneous sources such as vision, radar, and
LiDAR. However, in dynamic and uncertain
environments, traditional systems relying on static
configurations and passive sensing often fail to
maintain robust perception performance. Key
challenges arise from multi-modal fusion mechanisms,
as well as localization and mapping under
uncertainty, which directly affect the reliability
of perception and subsequent decision-making.
This special session aims to explore recent advances
in perception-driven control for multi-modal sensor
networks, where sensing, decision-making, and system
adaptation are tightly integrated. By leveraging
perception feedback, sensor systems can adaptively
adjust configurations and coordinate multiple
sensing agents to improve overall performance. The
session will focus on theoretical methods, algorithm
design, and practical applications, providing a
platform for interdisciplinary exchange across
sensing, control, and intelligent systems.
Session organizers
Prof. Xi Chen, Wuhan University of Science and
Technology, China
Prof. Jingwen Yi, Wuhan University of Science and
Technology, China
Assoc. Prof. Zike Lei, Wuhan University of Science
and Technology, China
The topics of interest include, but are not limited to:
▪ Perception-driven
control and decision-making
▪ Multi-modal perception and information fusion
▪ Adaptive control in sensor networks
▪ Dynamic configuration of sensor systems
▪ Cooperative perception in multi-sensor networks
▪ Learning-based methods for perception-driven
control
▪ Uncertainty-aware perception and decision
strategies
▪ Localization and mapping in multi-modal systems
▪ Other related cutting-edge technologies
Submission method
Submit your Full Paper (no less than 5 pages with two colums) or
your paper abstract-without publication (200-400
words) via
Online Submission System, then choose Special
Session 22 (Perception-Driven Control in Multi-Modal Sensor Networks)
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Introduction of
Session organizer
Prof. Xi Chen, Wuhan University
of Science and Technology, China
Xi Chen received the B.S. degree in
automation from the Huazhong University of Science
and Technology, Wuhan, China, in 2009 and the M.S.
degree in information science and technology from
Xiamen University, Xiamen, China, in 2012, and the
Ph.D. degree in electrical engineering from the
University of Newcastle, Callaghan, NSW, Australia,
in 2015. In 2015, he joined the Wuhan University of
Science and Technology, Wuhan, China, where he is
currently an Associate Professor. His research
interests include coverage of sensor network,
multiagent systems, and nonlinear system control. He
has published more than 30 papers on IEEE
TAC/TCYB/TMECH/TII/TIE/TIM/RAL and so on.
Prof. Jingwen Yi, Wuhan University of Science
and Technology, China
Jing-Wen Yi received the B.E. degree in Automation
from Yantai University, Yantai, China, in 2010, and
the Ph.D. degree in Control Science and Engineering
from Huazhong University of Science and Technology,
Wuhan, China, in 2016. She was a Visiting Student
with Nanyang Technological University, Singapore,
from September 2014 to May 2015. In April 2016, she
joined the Wuhan University of Science and
Technology, Wuhan, China, where she is currently an
Associate Professor with the School of Information
Science and Engineering. Her research interests
include cooperative control of multi-agent systems,
distributed optimization, and graph signal
processing. She has published more than 40 papers in
international journals and conferences such as IEEE
TAC, Automatica, IEEE TCYB, INS, etc. Dr Yi is a
Member of IEEE, a Member of Youth Work Committee of
Chinese Institute of Command and Control, a Member
of Swarm Intelligence and Cooperative Control
Committee of Chinese Institute of Command and
Control. She was awarded "Chutian Young Scholar" in
Hubei Province, and received the "Poster Award" from
the 30th China Control Conference.
Assoc. Prof. Zike Lei,
Wuhan University of Science and Technology, China
Zike Lei received B.Eng. degree in electronic
information engineering and the Ph.D. degree in
control science and engineering from Wuhan
University of Science and Technology, Hubei, China,
in 2017 and 2022, respectively. He was a Visiting
Scholar at the University of Windsor, ON, Canada
from 2019 to 2020, and served as a Researcher there
from 2023 to 2025. He joined Wuhan University of
Science and Technology in 2025. He has published
over 10 papers in top journals and conferences such
as IEEE/ASME Transactions on Mechatronics.
His research interests include field sensor network,
multimodal sensing, embodied intelligence, and
perception-based control.