no code implementations • 21 Aug 2023 • Hao Chen, Weiwei Wan, Masaki Matsushita, Takeyuki Kotaka, Kensuke Harada
Accurate robotic manipulation of test tubes in biology and medical industries is becoming increasingly important to address workforce shortages and improve worker safety.
1 code implementation • 4 Jan 2023 • Hao Chen, Weiwei Wan, Masaki Matsushita, Takeyuki Kotaka, Kensuke Harada
The collected and synthetic images are combined to train a deep detection neural network.
no code implementations • 12 Apr 2020 • Weibo Huang, Hong Liu, Weiwei Wan
To compensate for the impact of time offset, our method includes two short-term motion interpolation algorithms for the camera and IMU pose estimation.
no code implementations • 26 Mar 2020 • Kazuki Higashi, Keisuke Koyama, Ryuta Ozawa, Kazuyuki Nagata, Weiwei Wan, Kensuke Harada
Synergy supplies a practical approach for expressing various postures of a multi-fingered hand.
Robotics
no code implementations • 9 Mar 2020 • Jingren Xu, Keisuke Koyama, Weiwei Wan, Yukiyasu Domae, Kensuke Harada
In this paper, we present a structured approach of selecting and designing a set of grippers for an assembly task.
Robotics
2 code implementations • 5 Mar 2020 • Felix von Drigalski, Chisato Nakashima, Yoshiya Shibata, Yoshinori Konishi, Joshua C. Triyonoputro, Kaidi Nie, Damien Petit, Toshio Ueshiba, Ryuichi Takase, Yukiyasu Domae, Taku Yoshioka, Yoshihisa Ijiri, Ixchel G. Ramirez-Alpizar, Weiwei Wan, Kensuke Harada
We propose a versatile robotic system for kitting and assembly tasks which uses no jigs or commercial tool changers.
no code implementations • 22 Jan 2020 • Jingren Xu, Kensuke Harada, Weiwei Wan, Toshio Ueshiba, Yukiyasu Domae
In this paper, we address efficiently and robustly collecting objects stored in different trays using a mobile manipulator.
Robotics
no code implementations • 4 Oct 2019 • Yan Wang, Kensuke Harada, Weiwei Wan
Complex and skillful motions in actual assembly process are challenging for the robot to generate with existing motion planning approaches, because some key poses during the human assembly can be too skillful for the robot to realize automatically.