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Tae-Gyu Song

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2020 – today

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2025
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  - journals/ram/ShinSJP25
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Young-Ha Shin, Tae-Gyu Song, Gwanghyeon Ji, Hae-Won Park:
Reinforcement Learning for High-Speed Quadrupedal Locomotion With Motor Operating Region Constraints: Mitigating Motor Model Discrepancies through Torque Clipping in Realistic Motor Operating Region. IEEE Robotics Autom. Mag. 32(2): 49-59 (2025)
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  - journals/corr/abs-2512-24698
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Dongyun Kang, Min-Gyu Kim, Tae-Gyu Song, Hajun Kim, Sehoon Ha, Hae-Won Park:
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model Homotopy Transfer. CoRR abs/2512.24698 (2025)
2023
[i1]
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  - journals/corr/abs-2312-17507
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Young-Ha Shin, Tae-Gyu Song, Gwanghyeon Ji, Hae-Won Park:
Actuator-Constrained Reinforcement Learning for High-Speed Quadrupedal Locomotion. CoRR abs/2312.17507 (2023)
2022
[c1]
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  - conf/iros/SongSHCKP22
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Tae-Gyu Song, Young Ha Shin, Seungwoo Hong, Hyungho Chris Choi, Joon-Ha Kim, Hae-Won Park:
DRPD, Dual Reduction Ratio Planetary Drive for Articulated Robot Actuators. IROS 2022: 443-450

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