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S. Ku

dblp:07/5443 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1996
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

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 · 87% Motion planning and robot control · 13%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.011996
Design and control of a teleoperated microgripper for microsurgery · ICRA 1996
Robotics › Robot manipulation › end effector
microgripper design
0.011996
Design and control of a teleoperated microgripper for microsurgery · ICRA 1996
Robotics › Motion planning and robot control
teleoperation
0.011996
Design and control of a teleoperated microgripper for microsurgery · ICRA 1996
Medical and health informatics
microsurgery
0.011996
Design and control of a teleoperated microgripper for microsurgery · ICRA 1996
Medical and health informatics
surgical robotics
0.011996
Design and control of a teleoperated microgripper for microsurgery · ICRA 1996

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

motion scaling · 0.0force sensing · 0.0force reflection · 0.0
YearPublicationVenuePosition
1996 Design and control of a teleoperated microgripper for microsurgery
abstract
A remotely controlled microgripper has been developed as an end-effector for a six-degree-of-freedom force-reflecting motion-scaling system. The microgripper is small and lightweight, and features relatively high force and stroke compared to other designs. Furthermore, force sensing enables the accurate measurement and control of tool-tissue forces, and the emulation of different mechanical devices. This paper presents the design of the microgripper and describes some control methods that have been implemented.
S. Ku, Tim Salcudean
ICRA1