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Anthony W. Foster

dblp:52/6741 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2002
—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 · 67% Legged, aerial and field robots · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › grasping › gripper design
dexterous gripper design		 0.012002
Development of a Four-Fingered Dexterous Robot End Effector for Space Operations · ICRA 2002
Robotics › Robot manipulation
grasping		 0.012002
Development of a Four-Fingered Dexterous Robot End Effector for Space Operations · ICRA 2002
Robotics › Legged, aerial and field robots
space robotics		 0.012002
Development of a Four-Fingered Dexterous Robot End Effector for Space Operations · ICRA 2002

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

tendon-driven actuation · 0.0kinematic modeling · 0.0
YearPublicationVenuePosition
2002 Development of a Four-Fingered Dexterous Robot End Effector for Space Operations
abstract
This paper describes the development of a tendon-driven, multi-fingered dexterous robot hand for space operations. This hand can achieve cylindrical grasps while producing a holding strength necessary for grasping several crew aids, tools (CATs) and interfaces. The design is based on grasping requirements for 242 CATs and interfaces found in the extravehicular activity (EVA) Tools and Equipment Reference Book. The results of this study show that over 50% of the required grasps are cylindrical, and that it may be possible for a three-fingered hand to achieve over 90% of these grasps. Further tests are implemented to show that tendon tensions agree with the predicted kinematic model.
David L. Akin, Craig R. Carignan, Anthony W. Foster
 ICRA3