Zobrazeno 1 - 10
of 186
pro vyhledávání: '"Jae-Han Park"'
Publikováno v:
IEEE Access, Vol 12, Pp 32507-32517 (2024)
The quadruped robot has to assess the feasibility of upcoming terrains before making contact to safely traverse various environments. This assessment is called traversability in the literature on quadruped robots. Trasversability has recently posed c
Externí odkaz:
https://doaj.org/article/a24f067efd9f4c629910f2010d101f46
Publikováno v:
IEEE Access, Vol 11, Pp 94497-94505 (2023)
The perception of a quadruped robot is crucial in determining how the robot has to move while crossing challenging terrains. However, robustness in the quadruped perception is still a dilemma when facing a slippery, deformable, and reflective terrain
Externí odkaz:
https://doaj.org/article/f089b1ad72904aaba6917a9fa6214947
Publikováno v:
IEEE Access, Vol 8, Pp 36080-36088 (2020)
With the increasing popularity of automatic speaker verification (ASV), the reliability of ASV systems has also gained importance. ASV is vulnerable to various spoofing attacks, especially replay attacks. Thus, recent public competitions and studies
Externí odkaz:
https://doaj.org/article/27087504f87e4d55a20d2090ba2ee14d
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9837 (2022)
This paper presents a deep reinforcement learning-based path planning algorithm for the multi-arm robot manipulator when there are both fixed and moving obstacles in the workspace. Considering the problem properties such as high dimensionality and co
Externí odkaz:
https://doaj.org/article/aff443006a934eb88115f0f003ee6bfa
Publikováno v:
Sensors, Vol 22, Iss 19, p 7266 (2022)
Reinforcement learning (RL) trains an agent by maximizing the sum of a discounted reward. Since the discount factor has a critical effect on the learning performance of the RL agent, it is important to choose the discount factor properly. When uncert
Externí odkaz:
https://doaj.org/article/107e7bcba77e4ba082e0d0a68eb93dd9
Autor:
Sangchul Han, Myoung-Su Choi, Yong-Woo Shin, Ga-Ram Jang, Dong-Hyuk Lee, Jungsan Cho, Jae-Han Park, Ji-Hun Bae
Publikováno v:
Robotics, Vol 11, Iss 1, p 18 (2022)
Conventional assembly methods using robots need to change end-effectors or operate two robot arms for assembly. In this study, we propose a screwdriving gripper that can perform the tasks required for the assembly using a single robot arm. The propos
Externí odkaz:
https://doaj.org/article/47735b925be7490fa8c5c5a5034263c8
Publikováno v:
Applied Sciences, Vol 11, Iss 6, p 2587 (2021)
In the workspace of robot manipulators in practice, it is common that there are both static and periodic moving obstacles. Existing results in the literature have been focusing mainly on the static obstacles. This paper is concerned with multi-arm ma
Externí odkaz:
https://doaj.org/article/c83a380d51c6454db557d91621296fe4
Publikováno v:
Sensors, Vol 20, Iss 20, p 5911 (2020)
Since path planning for multi-arm manipulators is a complicated high-dimensional problem, effective and fast path generation is not easy for the arbitrarily given start and goal locations of the end effector. Especially, when it comes to deep reinfor
Externí odkaz:
https://doaj.org/article/aa0d5f02b1fe49e2b2bcf2dd60120d9c
Publikováno v:
Applied Sciences, Vol 10, Iss 2, p 575 (2020)
In order to enhance performance of robot systems in the manufacturing industry, it is essential to develop motion and task planning algorithms. Especially, it is important for the motion plan to be generated automatically in order to deal with variou
Externí odkaz:
https://doaj.org/article/aebab02e84c240f6916ed787647a386d
Autor:
Jae-Han Park, Tae-Woong Yoon
Publikováno v:
Complexity, Vol 2018 (2018)
Automated motion-planning technologies for industrial robots are critical for their application to Industry 4.0. Various sampling-based methods have been studied to generate the collision-free motion of articulated industrial robots. Such sampling-ba
Externí odkaz:
https://doaj.org/article/da1f0ae1a2d54fc8ae22f702e778521d