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Takeo Kishida

dblp:42/1297 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
—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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › grasping
adaptive grasping
0.112008
Adaptive grasping by multi fingered hand with tactile sensor based on robust force and position control · ICRA 2008
Robotics › Robot manipulation
grasping, dexterous and mobile manipulation
0.112008
Adaptive grasping by multi fingered hand with tactile sensor based on robust force and position control · ICRA 2008

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

tactile sensing · 0.1slip detection · 0.1force/position switching control · 0.1
YearPublicationVenuePosition
2008 Adaptive grasping by multi fingered hand with tactile sensor based on robust force and position control
abstract
In this paper we propose a new robust force and position control method for property-unknown objects grasping. The proposed control method is capable of selecting the force control or position control, and smooth and quick switching according to the amount of the external force. The proposed method was applied to adaptive grasping by three-fingered hand which has 12 DOF, and the experimental results revealed that the smooth collision process and the stable grasping is realized even if the precise surface position, the mass and the stiffness are unknown. In addition a new algorithm determines the grasp force according to the "slip" measured with the tactile sensor and the viscoelastic media on the fingertip. This algorithm works at starting and stationary state, so the friction and mass unknown object grasping is realized by the effectual force.
Taro Takahashi, Toshimitsu Tsuboi, Takeo Kishida, Yasunori Kawanami, Satoru Shimizu, Masatsugu Iribe, Tetsuharu Fukushima
ICRA3