Shimojo MAKOTO (下条 誠)

Media Coverage Type: internet
Event/Program/Newspaper: Video Friday:Your weekly selection of awesome robot videos
Description:
U can’t touch this!
Related Link:
URL https://spectrum.ieee.org/automaton/robotics/robotics-hardware/video-friday-attack-hexapod-robots?fbclid=IwAR13BnvYvjMq5oMm9Fx1jTdhZ_yixZC7hiAdGxCjR40k8gAlV0EWm_bbmEQ

Media Coverage Type: internet
Event/Program/Newspaper: Video Friday
Description:
https://youtu.be/v470C9L3Szo
Related Link:
URL https://spectrum.ieee.org/automaton/robotics/robotics-hardware/video-friday-92019?fbclid=IwAR1BTR7Jn_ToTixGQaKPmwsnxJrSYwZfBGaqwWbeKCJyr1ueQfx5Uj1-qD0

Media Coverage Type: internet
Author: Other
Event/Program/Newspaper: Video Friday
Description:
In this paper, we propose a combination of sensing and control modules for catching soft objects (i.e., a marshmallow and paper balloon) at a high speed with small deformation. A paper balloon and marshmallow are deformed by a small force and they have individual differences in terms of softness. Therefore, model-based, small-deformation catching is difficult. To realize small-deformation catching, we used high-speed sensor-based (vision and proximity) control modules without a deformation model of the soft objects. A high-speed vision-based controller adjusts the positions of the fingertips of a robot to some extent. As the distance to the object decreased, the fingertip positions were accurately controlled by the high-speed, high-precision proximity-based control. Furthermore, the fingertips were stopped by a proximity-based contact detection before the object surface was deformed. Virtual damping control was effective in catching an object whose surface can be easily deformed by a small impact force or vibration of the fingertips, such as a paper balloon.
Related Link:
URL https://youtu.be/M_2-oi6xIEc

Media Coverage Type: internet
Event/Program/Newspaper: Video Friday
Description:
In this study, we propose integrated control of a robotic hand and arm using only proximity sensing from the fingertips. An integrated control scheme for the fingers and for the arm enables quick control of the position and posture of the arm by placing the fingertips adjacent to the surface of an object to be grasped. The arm control scheme enables adjustments based on errors in hand position and posture that would be impossible to achieve by finger motions alone, thus allowing the fingers to grasp an object in a laterally symmetric grasp. This can prevent grasp failures such as a finger pushing the object out of the hand or knocking the object over. Proposed control of the arm and hand allowed correction of position errors on the order of several centimeters. For example, an object on a workbench that is in an uncertain positional relation with the robot, with an inexpensive optical sensor such as a Kinect, which only provides coarse image data, would be sufficient for grasping an object.​ https://spectrum.ieee.org/automaton/robotics/robotics-software/video-friday-icra-stockholm
Related Link:
URL https://www.youtube.com/watch?v=tHsrXsEreCY