K. Goda

dblp:09/279 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 1994
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.011994
Robustness of Power Grasp · ICRA 1994
Robotics › Robot manipulation › grasping › grasp stability
grasp robustness
0.011994
Robustness of Power Grasp · ICRA 1994
Robotics › Robot manipulation › grasping › multifingered grasping
power grasp
0.011994
Robustness of Power Grasp · ICRA 1994
Robotics › Robot manipulation › grasping
grasp planning
0.011994
Robustness of Power Grasp · ICRA 1994

Methods — techniques the papers use, named apart from their topics

virtual work analysis · 0.0critical force computation · 0.0
YearPublicationVenuePosition
1994 Robustness of Power Grasp
abstract
Power grasp is redefined as a type of grasp that its mechanism can resist passively against external forces without relying on feedback control of joint torques. A computational algorithm is invented to calculate the critical external force, a force which is requisite to move the grasped object in a definite direction. Virtual work is proposed as the quality measure of the robustness of power grasp. Because this measure is a scalar, it is convenient and suitable for the planning of power grasp. The effectiveness of the computational algorithm of critical external force and quality measure of robustness of power grasp is verified with a numerical example.>
X.-Y. Zhang, Yoshihiko Nakamura, K. Goda, K. Yoshimoto
ICRA3