Energy-efficient human-like trajectory planning for wheeled robots in unstructured environments based on the RCSM-PL network
Summary: Reducing energy consumption of wheeled robots in urban inspection and unstructured environments is a pressing challenge. This study proposes a human-like trajectory planning method based on deep learning to address energy inefficiency. A convolutional neural network (CNN) with multi-dimensi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004225015573 |
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