Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Electrical and Electronic Engineering | en_US |
| dc.creator | Kang, Miaolin | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/14460 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | Design of a smart wireless power transfer system for robotic dogs | en_US |
| dcterms.abstract | With the wide application of robots in the fields of inspection, security, and logistics, the demand for continuous operation capabilities of all kinds of mobile robots is increasing. The traditional fixed charging pile mode limits the working range and flexibility of the robots. This study proposes a mobile energy supply system for medium and low-power wireless charging machines. The robotic dog aims to provide on-demand wireless charging services for heterogeneous nodes scattered in the environment. This study proposes a multi-robot dog system path planning framework based on Advantage Actor-Critic (A2C) reinforcement learning algorithms. The robotic dog can integrate the time and energy needs of the node and solve the path optimization problem under the constraints of the energy and time window. Simulation results show that the framework achieves full coverage and convergence stability of tasks under different numbers of robotic dogs and node configurations. | en_US |
| dcterms.extent | 59 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2026 | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 8889.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 5.58 MB | Adobe PDF | View/Open |
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