Advanced Techniques in Control and Path Planning for Autonomous and Collaborative Robots in Dynamic Environments
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Navigation and Positioning".
Deadline for manuscript submissions: 15 January 2026 | Viewed by 53
Special Issue Editor
2. Department of Electrical Engineering, Center for Interdisciplinary Research Center for Intelligent Manufacturing & Robotics (IRC-IMR), King Fahd University of Petroleum & Minerals, Dhahran 31261, Eastern Province, Saudi Arabia
Interests: nonlinear and adaptive control; bio-robotics; rehabilitation robots; industrial automation; IIoT; fundamental motion control concepts for nonholonomic/underactuated vehicle systems; haptic systems; intelligent and autonomous control of unmanned systems; intelligent systems; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This special issue explores recent advancements in control techniques and path planning for autonomous and collaborative robotic systems in dynamic environments. As robots are increasingly deployed in real-world scenarios with unpredictable obstacles, traditional methods face challenges in real-time decision-making, multi-robot coordination, and efficient navigation. By integrating Artificial Intelligence (AI), Digital Twin technology, and advanced control strategies, this issue highlights innovations that improve robot mobility, perception, and collaboration. AI-driven algorithms enable intelligent trajectory generation, while Digital Twin models facilitate real-time environmental reconstruction for accurate path optimization. Furthermore, the issue delves into collaborative robotics, focusing on communication, coordination, and task sharing between robots for enhanced system performance. This collection aims to provide insights into the future of autonomous and collaborative robotics, addressing both theoretical advancements and practical applications in intelligent navigation and control systems.
Dr. Brahim Brahmi
Guest Editor
Manuscript Submission Information
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Keywords
- autonomous path planning
- collaborative robotics
- advanced control techniques
- AI-driven navigation
- multi-robot coordination
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