Mobile Robot Intelligent Systems: Perception, Planning, and Interaction in Real-World Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 7
Special Issue Editors
Interests: mobile robots; mixed reality; human technologies; optimization algorithms; 3D vision system; human-machine interaction
Special Issues, Collections and Topics in MDPI journals
Interests: measurements; mobile robotics; mixed reality; 3D vision system; space applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to collect and disseminate original research and recent advances in the design, development, and application of intelligent systems for mobile robots operating in real-world settings. The focus is on perception and sensor integration, motion and task planning, adaptive control, machine learning, and human–robot interaction. Specific emphasis will be placed on robust perception, efficient and safe planning and navigation, user-centered interaction (including with assistive mobile platforms such as autonomous wheelchairs and walkers), and the integration of virtual and augmented reality. The goal is to highlight innovative approaches that enable mobile robots to perceive, plan, and interact effectively in complex and dynamic environments.
Topics of interest for this Special Issue include, but are not limited to:
- Sensor Integration and Perception: Innovative sensor fusion techniques (e.g., combining vision sensors, UWB, range sensors, encoders), camera pose estimation, calibration, and robust perception in unstructured or dynamic environments.
- Motion and Task Planning: Path and behavior planning for autonomous navigation, safe obstacle avoidance, and real-time decision making in dynamic settings.
- Human–Robot Interaction (HRI): Shared and semi-autonomous control strategies in mobile robots and assistive devices (e.g., wheelchairs, walkers), natural user interfaces (e.g., gaze-based, AR/VR-mediated interfaces), immersive feedback systems for rehabilitation and training.
- AI and Machine Learning in Robotics: Monte Carlo methods for tracking and identification, action recognition through synthetic data, confidence estimation in classification, and adaptive decision-making algorithms for autonomy.
- Mixed, Virtual, and Augmented Reality for Robotics: Applications of AR and VR for immersive robot control, teleoperation, and human activity assessment.
- Applications: Mobile robotics in healthcare (rehabilitation, monitoring, assistive devices), logistics (AGVs, AMRs), industrial automation (smart factories), and environmental mapping and 3D reconstruction.
Dr. Alessandro Luchetti
Dr. Mariolino De Cecco
Guest Editors
Manuscript Submission Information
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Keywords
- mobile robotics
- intelligent systems
- sensor fusion
- human–robot interaction (HRI)
- machine learning for robotics
- augmented reality
- virtual reality
- robot perception
- assistive robotics
- autonomous vehicles
- motion planning
- 3D reconstruction
- object detection and tracking
- rehabilitation robotics
- data-driven robot control
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