Do, Huy ; Veerajagadeshwar, Prabahar ; Sun, Fangbin ; Guo, Yujie ; Le, Anh Vu ; Weeger, Oliver ; Mohan, Rajesh Elara ; Nhan, Nguyen Huu Khanh ; Duc, Phan Van ; Vu, Minh Bui (2022)
Combined grid and heat conduction optimization for staircase cleaning robot path planning.
In: Automation in Construction, 141
doi: 10.1016/j.autcon.2022.104447
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Staircase climbing, particularly in complex environments of multi-storey buildings, is a challenging task for robotics. By leveraging the similarities between robot path planning and heat conduction, this paper presents a novel path planning to direct with optimal energy consumption the self-reconfigurable staircase cleaning robot called sTetro, able to transform its shape to perform both descent and ascent motions on the staircase. Finding optimal path is modeled as heat traveling between heat source and heat sink through thermal conductive materials. We utilize the temperature gradient on grid-based optimization method to search for optimal paths by minimizing path length and energy consumption. The proposed path planning method successfully applies to six virtual environments with various obstacle placements. Additionally, validation tests on a real sTetro robot in 2 real staircase scenarios show that the energy consumption of the optimized paths from the proposed method is about 21% lower than that from conventional methods.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2022 |
Autor(en): | Do, Huy ; Veerajagadeshwar, Prabahar ; Sun, Fangbin ; Guo, Yujie ; Le, Anh Vu ; Weeger, Oliver ; Mohan, Rajesh Elara ; Nhan, Nguyen Huu Khanh ; Duc, Phan Van ; Vu, Minh Bui |
Art des Eintrags: | Bibliographie |
Titel: | Combined grid and heat conduction optimization for staircase cleaning robot path planning |
Sprache: | Englisch |
Publikationsjahr: | 28 Juni 2022 |
Verlag: | Elsevier |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Automation in Construction |
Jahrgang/Volume einer Zeitschrift: | 141 |
DOI: | 10.1016/j.autcon.2022.104447 |
URL / URN: | https://www.sciencedirect.com/science/article/pii/S092658052... |
Kurzbeschreibung (Abstract): | Staircase climbing, particularly in complex environments of multi-storey buildings, is a challenging task for robotics. By leveraging the similarities between robot path planning and heat conduction, this paper presents a novel path planning to direct with optimal energy consumption the self-reconfigurable staircase cleaning robot called sTetro, able to transform its shape to perform both descent and ascent motions on the staircase. Finding optimal path is modeled as heat traveling between heat source and heat sink through thermal conductive materials. We utilize the temperature gradient on grid-based optimization method to search for optimal paths by minimizing path length and energy consumption. The proposed path planning method successfully applies to six virtual environments with various obstacle placements. Additionally, validation tests on a real sTetro robot in 2 real staircase scenarios show that the energy consumption of the optimized paths from the proposed method is about 21% lower than that from conventional methods. |
Zusätzliche Informationen: | Artikel-ID: 104447 |
Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Fachgebiet Cyber-Physische Simulation (CPS) |
Hinterlegungsdatum: | 30 Jun 2022 05:02 |
Letzte Änderung: | 30 Jun 2022 05:02 |
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