Autonomous Human-Aware Intralogistics
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 668
Special Issue Editors
Interests: mobile robotics; human-aware navigation; USV; UAV; intralogistics
Interests: intelligent manufacturing agent based manufacturing; cyber-physical systems evolvable production system
Interests: smart intralogistics, robotics; virtual reality; augmented reality; virtual collaborative environments; AI
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The next generation of autonomous intralogistics robots need to seamlessly interact and collaborate with human operators. Recently, social navigation has been subject of extensive research. However, the specificity of shopfloor logistics operations brings additional challenges. In dynamic shopfloors, human-aware mobile robots need to optimize not only travel time, distance and consider social cues but also take into account task allocation, cycle time, and disturbance of human tasks. Robots should use multimodal perception and communication approaches to obtain and convey explicit and implicit social cues. Their path and motion planning should be heavily influenced by modelling of human behavior.
In order to attain this goal novel technologies and strategies are needed, including shared perception, people detection and tracking, localization and mapping, machine learning, and path and motion planning. This Special Issue aims to contribute to the state-of-the-art and current applications of human-aware autonomous intralogistics robots, with particular attention to navigation and manipulation. We invite authors to submit original research, new developments, experimental works, and surveys.
Dr. Francisco Antero Cardoso Marques
Prof. Dr. José Barata
Dr. Sotiris Makris
Dr. George Michalos
Guest Editors
Manuscript Submission Information
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Keywords
- Path and motion planning
- Data fusion for mobile robot navigation
- Sensor networks for mobile robot navigation
- Human–robot interaction for social navigation and manipulation
- Human and robot detection and tracking for navigation
- Adaptive robot navigation and control
- Autonomous Intralogistics
