Modeling, Autonomy and Control of Mobile Robotics
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: closed (10 November 2024) | Viewed by 3246
Special Issue Editor
Interests: motion cueing; robotics; intelligent systems; motion simulators; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the field of robotics has undergone a remarkable transformation, with mobile robotics emerging as a driving force in various industries and applications. Mobile robots have become an integral part of modern automation systems, playing vital roles in various applications, including industrial automation, logistics, healthcare, transportation, search and rescue, environmental monitoring, and exploration. This Special Issue aims to explore cutting-edge research and innovative approaches in the modeling, autonomy, and control of mobile robotics. This Special Issue seeks to bring together researchers and practitioners from academia and industry to present their latest findings, methodologies, and applications that contribute to the continuous growth of the field.
This Special Issue invites original contributions related to various aspects of mobile robotics, with a specific focus on modeling, autonomy, and control. We invite original contributions that address the theoretical foundations, practical applications, and real-world implementations in, though not limited to, the following areas:
- Mobile robotics (ground, aerial, marine, etc.);
- Modeling and simulation of robotics;
- Artificial intelligence in autonomy and robotics;
- Robot kinematics and dynamics;
- Sensors and perception;
- Autonomous navigation (path planning algorithms, obstacle avoidance techniques, global and local path planning, etc.);
- Decision-making and control strategies;
- Teleoperation, semi-autonomous and fully autonomous robotic systems;
- Human–robot interaction and collaboration;
- Learning and adaptation in robotics (reinforcement learning for control, model-based and model-free learning, and deep learning approaches);
- Control techniques for mobile robots and autonomous systems (PID control and applications, model predictive control (MPC), proportional–derivative (PD) control, nonlinear control methods, intelligent control, etc.);
- Swarm robotics (collective behaviors in swarms, swarm intelligence and algorithms, and applications of swarm robotics);
- Applications of mobile robotics (autonomous vehicles, aerial drones and applications, marine robots for underwater exploration, warehouse and logistics robots, medical robots, industrial robots, humanoids, etc.);
- Robotic-based motion simulators (motion cueing algorithm, washout filtering, etc.);
- Emerging technologies in mobile robotics (multi-modal sensor integration, edge computing for real-time control, bio-inspired robotics and soft robotics);
- Multi-robot systems;
- Augmented reality and robotics;
- Virtual reality and robotics.
We look forward to receiving your contributions and assembling an outstanding collection of papers that will shape the future of mobile robotics.
Dr. Houshyar Asadi
Guest Editor
Manuscript Submission Information
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Keywords
- mobile robot
- autonomous robot
- hybrid automation
- modeling and identification
- autonomy and control
- intelligent robotics
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