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Job Neven

dblp:246/7828 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
—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 · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.412019
Design and Evaluation of an Energy-Saving Drive for a Versatile Robotic Gripper · ICRA 2019
Robotics › Robot manipulation › grasping
robotic gripper
0.412019
Design and Evaluation of an Energy-Saving Drive for a Versatile Robotic Gripper · ICRA 2019

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

reliability-based design optimization · 0.4
YearPublicationVenuePosition
2019 Design and Evaluation of an Energy-Saving Drive for a Versatile Robotic Gripper
abstract
The main task of robotic grippers, holding an object, does not require work theoretically. Yet grippers consume significant amounts of energy in practice. This paper presents an approach for designing an energy-saving drive for robotic grippers employing a Statically Balanced Force Amplifier (SBFA) and a Non-backdrivable mechanism (NBDM). A novel metric (Grip Performance Metric) to systematically evaluate drives regarding their energy consumption, is used in the design phase; afterwards, the realization and testing of a prototype (REED, Robotic Energy-Efficient Drive) are presented. Results show that the actuation force can be reduced by 92%, resulting in energy-savings of 86% for an example task. This shows the potential of drives based on SBFAs and NBDMs to achieve energy-neutral grippers.
Job Neven, Mohamed Baioumy, Wouter Wolfslag, Martijn Wisse
ICRA1