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Avi Fisch

dblp:59/2831 · 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 · 62% Motion planning and robot control · 38%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.012002
Optimal Design of Shape Memory Alloy Wire Bundle Actuators · ICRA 2002
Robotics › Motion planning and robot control › robot control
actuator optimization
0.012002
Optimal Design of Shape Memory Alloy Wire Bundle Actuators · ICRA 2002
Robotics › Motion planning and robot control
robot control
0.012002
Optimal Design of Shape Memory Alloy Wire Bundle Actuators · ICRA 2002

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

shape memory alloy · 0.0constrained optimization · 0.0
YearPublicationVenuePosition
2002 Optimal Design of Shape Memory Alloy Wire Bundle Actuators
abstract
This research studied the optimal design of shape memory alloy (SMA) muscle wire bundle actuators. Current literature describes the use of multiple muscle wires placed in parallel to increase the lifting capabilities of an SMA actuator, which however, is limited to wires of like-diameter. A constrained optimization problem was formulated, with constraints on the maximum number of wires, voltage applied, and SMA bundle length and cross-sectional area, that explored the use of several different diameter wires for the development of an optimal SMA bundle actuator that will be able to apply maximum force. As a case study, the optimal design of SMA bundle actuators for the Rutgers robotic hand is presented.
Kathryn J. De Laurentis, Avi Fisch, Jason Nikitczuk, Constantinos Mavroidis
ICRA2