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Sutthiphong Srigrarom on Muck Rack

Sutthiphong Srigrarom

As seen in: MDPI
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Articles

Path Planning and Motion Control of Robot Dog Through Rough Terrain Based on Vision Navigation

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By Tianxiang Chen, Sutthiphong Srigrarom, Boo Cheong Khoo, Yipeng Huangfu
| MDPI
1. Introduction Quadruped robots have gained significant attention in recent years due to their adaptability and scalability in various environments, such as those in industrial, military, and disaster relief operations. Unlike wheeled robots, quadruped robots can easily navigate stairs and low obstacles, making them ideal for rugged terrains and densely forested areas, where wheeled robots struggle [1].
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Multiple UAS Traffic Planning Based on Deep Q-Network with Hindsight Experience Replay and Economic Considerations

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By Shao Xuan Seah, Sutthiphong Srigrarom, Shao Xuan
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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