Figure3

Deep reinforcement learning for real-world quadrupedal locomotion: a comprehensive review

Figure 3. Several statistical results from important papers on quadrupedal locomotion research. A full summary of classification results of the most relevant publications is presented in Tables 1 and 2 in the Appendix. These papers were selected from journals and conferences (ArXiv, CoRL, ICRA, RSS, IROS, Science Robotics, ICLR, etc.) in recent years. (a-c) Trends in the usage times of several DRL-based algorithms, simulation platforms, and real robots. The x and y axes represent the year and the number used, respectively. (d) Number of papers accepted by the journal or conference. The x and y axes represent journals (or conferences) and the number of papers published, respectively.

Intelligence & Robotics
ISSN 2770-3541 (Online)
Follow Us

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/