no code implementations • 1 Feb 2024 • Donghoon Youm, Hyunsik Oh, Suyoung Choi, Hyeongjun Kim, Jemin Hwangbo
This paper introduces a novel proprioceptive state estimator for legged robots that combines model-based filters and deep neural networks.
1 code implementation • 11 Feb 2022 • Gwanghyeon Ji, Juhyeok Mun, Hyeongjun Kim, Jemin Hwangbo
In this paper, we propose a locomotion training framework where a control policy and a state estimator are trained concurrently.
1 code implementation • IEEE ROBOTICS AND AUTOMATION LETTERS 2021 • Jiwon Kim, Hyeongjun Kim, Taejoo Kim, Namil Kim, Yukyung Choi
In this letter, we tackle multispectral pedestrian detection, where all input data are not paired.