Advanced Sensing and Control Technologies for Autonomous Robots
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: closed (30 December 2023) | Viewed by 20595
Special Issue Editors
Interests: autonomous robots; robot control; intelligent motion control
2. Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China
Interests: adaptive control; robot control; intelligent control
Interests: computer vision; intelligent vehicle systems; vision and laser localization (SLAM); active visual monitoring
Interests: modern electromechanical system design and control (modeling, simulation, optimization, testing); engineering structure analysis and optimization design (size, shape, topology optimization); modern measurement and control technology and methods (intelligent testing, automated production line)
Special Issue Information
Dear Colleagues,
With the advantages of noteworthy dexterity, maneuverability and high-efficiency to perform a growing variety of tasks, autonomous robots are getting increasingly intelligent and complex to achieve difficult operations with comprehensive utilization of sensors, mounted manipulator, actuators, controllers, etc. Autonomous robots are capable of acting in swarms and offering total flexibility for industrial applications, which have expanded significantly from manufacturing and automation. This special collection aims to provide up-to-date research concepts, theoretical findings and practical solutions for autonomous robots concerning perception, navigation, and motion control.
Dr. Yuanlong Xie
Dr. Shiqi Zheng
Dr. Zhaozheng Hu
Prof. Dr. Shuting Wang
Guest Editors
Manuscript Submission Information
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Keywords
- kinematic and dynamic modelling and parameter identification
- learning-based perception, recognition, navigation, mapping and localization
- intelligent decision, cooperation, environments and situation understanding
- mobile robot manipulation and in-wheel-driven techniques
- cooperative control of multiple autonomous systems
- coexisting-cooperative-cognitive technologies
- autonomous levels of unmanned systems
- robot optimal control, adaptive control and system optimization