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Fernando Mier Hicks

dblp:135/8300 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—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%
Theoretical computer science
1 paper
Mathematical optimization · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › grasping › multifingered grasping
enveloping grasp
0.212013
Kinetic and dimensional optimization for a tendon-driven gripper · ICRA 2013
Robotics › Robot manipulation
grasping
0.212013
Kinetic and dimensional optimization for a tendon-driven gripper · ICRA 2013
Mathematical optimization
design optimization
0.012013
Kinetic and dimensional optimization for a tendon-driven gripper · ICRA 2013

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

spring parameter optimization · 0.3kinematic optimization · 0.3
YearPublicationVenuePosition
2013 Kinetic and dimensional optimization for a tendon-driven gripper
abstract
We design, optimize and demonstrate the behavior of a tendon-driven robotic gripper performing fingertip and enveloping grasps. The gripper consists of two fingers, each with two links, and is actuated using a single active tendon. During unobstructed closing, the distal links remain parallel, creating exact fingertip grasps. Conversely, if the proximal links are stopped by contact with an object, the distal links start flexing, creating a stable enveloping grasp. We optimize the route of the active tendon and the parameters of the springs providing passive extension forces in order to achieve this behavior. We show how an additional passive tendon can be used as a constraint preventing the gripper from entering undesirable parts of the joint workspace. Finally, we introduce a method for optimizing the dimensions of the links in order to achieve enveloping grasps of a large range of objects, and apply it to a set of common household objects.
Matei T. Ciocarlie, Fernando Mier Hicks, Scott Stanford
ICRA2