HIGHLIGHTS
- who: Zhang et_al Intell Robot and colleagues from the School of Engineering, Westlake University, Hangzhou, Zhejiang, China have published the research work: Deep reinforcement learning for real-world quadrupedal locomotion: a comprehensive review, in the Journal: (JOURNAL)
- what: In this survey, the authors focus on quadrupedal locomotion research from the perspective of algorithm design, key challenges, and future research directions.
- how: The classification results are presented in Tables 1 and 2 in the Appendix.
- future: The authors further discuss open problems and propose promising future research directions to discover new areas . . .
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