Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jeon, Se Hwan"'
We present a system that transforms speech into physical objects by combining 3D generative Artificial Intelligence with robotic assembly. The system leverages natural language input to make design and manufacturing more accessible, enabling individu
Externí odkaz:
http://arxiv.org/abs/2409.18390
The parallelism afforded by GPUs presents significant advantages in training controllers through reinforcement learning (RL). However, integrating model-based optimization into this process remains challenging due to the complexity of formulating and
Externí odkaz:
http://arxiv.org/abs/2408.09662
We present a minimal phase oscillator model for learning quadrupedal locomotion. Each of the four oscillators is coupled only to itself and its corresponding leg through local feedback of the ground reaction force, which can be interpreted as an obse
Externí odkaz:
http://arxiv.org/abs/2402.08662
Publikováno v:
2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 2023, pp. 9204-9210
The main challenge in developing effective reinforcement learning (RL) pipelines is often the design and tuning the reward functions. Well-designed shaping reward can lead to significantly faster learning. Naively formulated rewards, however, can con
Externí odkaz:
http://arxiv.org/abs/2307.10142
Autor:
Jeon, Se Hwan
Both optimal control methods and learning-based methods have been widely used for the control of legged locomotion. While optimal control formulations allow the designer to guarantee constraints on the solutions found, learning-based methods can leve
Externí odkaz:
https://hdl.handle.net/1721.1/144623
Quadrupedal landing is a complex process involving large impacts, elaborate contact transitions, and is a crucial recovery behavior observed in many biological animals. This work presents a real-time, optimal landing controller that is free of pre-sp
Externí odkaz:
http://arxiv.org/abs/2110.02799
Autor:
Jeon, Se Hwan1, Yang, Young-Mo2, Lee, Yoon Jae2, Kim, Me-Riong1, Kim, Eun-Jung3, Ha, In-Hyuk2 hanihata@gmail.com
Publikováno v:
Journal of Back & Musculoskeletal Rehabilitation. 2022, Vol. 35 Issue 2, p323-329. 7p.
