Affiliation:
1. Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari, 70126 Bari, Italy
Abstract
Stair climbing is one of the most challenging tasks for vehicles, especially when transporting people and heavy loads. Although many solutions have been proposed and demonstrated in practice, it is necessary to further improve their climbing ability and safety. This paper presents a systematic review of the scientific and engineering stair climbing literature, providing brief descriptions of the mechanism and method of operation and highlighting the advantages and disadvantages of different types of climbing platform. To quantitatively evaluate the system performance, various metrics are presented that consider allowable payload, maximum climbing speed, maximum crossable slope, transport ability and their combinations. Using these metrics, it is possible to compare vehicles with different locomotion modes and properties, allowing researchers and practitioners to gain in-depth knowledge of stair-climbing vehicles and choose the best category for transporting people and heavy loads up a flight of stairs.
Funder
Smell sense To Agricultural Robotics (STAR), ERA-NET COFUND ICT AGRI-FOOD
Italian Ministry of University and Research
Subject
Artificial Intelligence,Control and Optimization,Mechanical Engineering
Reference109 articles.
1. Green, J., Clounie, J., Galarza, R., Anderson, S., Campell-Smith, J., and Voicu, R.C. (2022, January 27–30). Optimization of an Intelligent Wheelchair: LiDAR and Camera Vision for Obstacle Avoidance. Proceedings of the 22nd International Conference on Control, Automation and Systems, Busan, Republic of Korea.
2. Kaye, H.S., Kang, T., and LaPlante, M. (2000). Mobility Device Use in the United States, Disability Statistics Report 14.
3. National Center for Health Statistics (2022). National Health Interview Survey, NCHS.
4. Di Priamo, C. (2020). L’inclusione Scolastica: Accessibilità, Qualità Dell’offerta e Caratteristiche Degli Alunni con Sostegno, ISTAT. Report Istituto Nazionale di Statistica Istat (Italian).
5. Locomotion systems for ground mobile robots in unstructured environments;Bruzzone;Mech. Sci.,2012
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