TU Darmstadt / ULB / TUbiblio

Combined grid and heat conduction optimization for staircase cleaning robot path planning

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
Article, Bibliographie

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.

Item Type: Article
Erschienen: 2022
Creators: 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
Type of entry: Bibliographie
Title: Combined grid and heat conduction optimization for staircase cleaning robot path planning
Language: English
Date: 28 June 2022
Publisher: Elsevier
Journal or Publication Title: Automation in Construction
Volume of the journal: 141
DOI: 10.1016/j.autcon.2022.104447
URL / URN: https://www.sciencedirect.com/science/article/pii/S092658052...
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.

Additional Information:

Artikel-ID: 104447

Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Cyber-Physical Simulation (CPS)
Date Deposited: 30 Jun 2022 05:02
Last Modified: 30 Jun 2022 05:02
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details