Multiagent Systems, Learning and Their Applications to Robotic (Mobile, Aerial, Underwater, Industrial and Medical) Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 8907
Special Issue Editor
Interests: machine learning for autonomous multi-vehicles (aerial, ground, underwater)/robotics (medical, industrial) network systems; collaborative learning control and manipulation for cyber-physical systems; intelligent robotics; mechatronics and unmanned vehicles
Special Issue Information
Dear Colleagues,
We are pleased to inform you that the Special Issue of the open-access journal Sensors (ISSN 1424-8220, IF 3.275) entitled “Multiagent Systems, Learning and Their Applications to Robotic (Mobile, Aerial, Underwater, Industrial and Medical) Systems” is accepting contributions.
In recent years, multi-agent systems have received a great deal of attention from researchers in different disciplines far beyond computer science and artificial intelligence communities. This is because multi-agent systems can be used to solve complex problems in various fields that are difficult or impossible for single agents or systems.
The goal in Special Issue in the "Physical" section is to gather novel contributions on multiagent systems, learning and their applications to mobile, aerial, underwater, industrial and medical robotic systems. This Special Issue will focus on identification, modeling, coordination, control and machine-learning methods for robotic systems with the presence of uncertainty. Manuscripts specifically addressing the theoretical, experimental/practical and technological aspects of identification, modeling, cooperation/synchronization, control and learning techniques for robotic systems and extending the concepts and methodologies from classical methods to advanced robust methods with the presence of uncertainty will be highly desirable for this Issue. The possible topics of interest include but are not limited to:
- Multi-agent reconfigurable robotics;
- Multi-agent swarm robotics, multi-agent leader–follower robotics;
- Multi-agent robot localization, mapping and exploration;
- Multi-agent robot motion coordination;
- Multi-agent robot architectures and task planning;
- Multi-agent robot control mechanisms and multi-agent robot learning;
- Multi-agent robot object grasping, transportation and manipulation.
We look forward to receiving your contributions.
Prof. Dr. Shafiqul Islam
Guest Editor
Manuscript Submission Information
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Keywords
- Intelligent robotic agents
- Multi-agent robotic systems
- Modeling, identification and multi-agent autonomous learning
- Distribution, cooperation and machine learning
- Architecture and task planning
- Communication, interaction and applications
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