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Howard Nicholls

dblp:77/4791 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2000
—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 · 87% Motion planning and robot control · 13%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › robot design › manipulator design
end-effector design
0.012000
Sensory Gripping System for Variable Products · ICRA 2000
Robotics › Robot manipulation
grasping
0.012000
Sensory Gripping System for Variable Products · ICRA 2000
Robotics › Motion planning and robot control › robot control
force control
0.012000
Sensory Gripping System for Variable Products · ICRA 2000

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

modular sensor-oriented design · 0.0
YearPublicationVenuePosition
2000 Sensory Gripping System for Variable Products
abstract
Describes a concept for end-effector operation for handling product items that are flexible or variable in physical properties such as size, shape or firmness. The emphasis is placed on the sensing and control issues of such systems. Our approach to variable product handling adopts a modular, sensor-oriented methodology that can be applied to a diversity of situations. We describe related research work and the architecture we have developed for control, actuation and sensing. We also discuss aspects of the sensory and mechanical configuration of our gripping testbed, its implementation and test results.
Werner E. Friedrich, Patrick P. K. Lim, Howard Nicholls
ICRA3