Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/117058
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Aeronautical and Aviation Engineering | - |
| dc.creator | Lan, B | - |
| dc.creator | Huang, H | - |
| dc.date.accessioned | 2026-01-30T00:53:41Z | - |
| dc.date.available | 2026-01-30T00:53:41Z | - |
| dc.identifier.uri | http://hdl.handle.net/10397/117058 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
| dc.rights | © 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
| dc.rights | The following publication B. Lan and H. Huang, "Adaptive and Robust Wheel-Legged Biped Robot for Semistructured Community Tasks," in IEEE Transactions on Computational Social Systems, vol. 12, no. 6, pp. 5255-5265, Dec. 2025 is available at https://doi.org/10.1109/TCSS.2025.3595520. | en_US |
| dc.subject | Feedforward control | en_US |
| dc.subject | Linear quadratic regulator | en_US |
| dc.subject | Multisensor fusion | en_US |
| dc.subject | Wheel-legged biped robot | en_US |
| dc.title | Adaptive and robust wheel-legged biped robot for semistructured community tasks | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.description.otherinformation | Title on author's file: Adaptive and Robust Wheel-Legged Biped Robot for Semi-Structured Community Tasks | en_US |
| dc.identifier.spage | 5255 | - |
| dc.identifier.epage | 5265 | - |
| dc.identifier.volume | 12 | - |
| dc.identifier.issue | 6 | - |
| dc.identifier.doi | 10.1109/TCSS.2025.3595520 | - |
| dcterms.abstract | This article presents the development and optimization of a wheel-legged biped robot designed for community inspection tasks. The robot combines the efficiency of wheeled robots with the adaptability of legged systems, making it suitable for navigating diverse terrains in semistructured environments. The main innovations of this research include the development of an integrated control system that combines balance control, state estimation, and terrain adaptation using multisensor fusion. The robot’s mechanical structure is designed to withstand jumps and falls, while its electronic hardware and software architecture ensure real-time control and robust performance. Experiments demonstrate the robot’s capabilities including tracking velocity as high as 2 m/s, resisting severe disturbance or slippage, and traversing steps over 10 cm automatically. The results show that the proposed control methods and hardware design effectively ensure the robot’s robustness and adaptability, validating its potential for practical community inspection applications. This work contributes to the growing field of autonomous robots in public service and provides a foundation for future research and development. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | IEEE transactions on computational social systems, Dec. 2025, v. 12, no. 6, p. 5255-5265 | - |
| dcterms.isPartOf | IEEE transactions on computational social systems | - |
| dcterms.issued | 2025-12 | - |
| dc.identifier.eissn | 2329-924X | - |
| dc.description.validate | 202601 bcch | - |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | a4293 | en_US |
| dc.identifier.SubFormID | 52548 | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This work was supported by the Research Centre for Unmanned Autonomous Systems (RCUAS), the Hong Kong Polytechnic University. | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Lan_Adaptive_Robust_Wheel.pdf | Pre-Published version | 10.59 MB | Adobe PDF | View/Open |
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