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Marvin van Nunspeet

dblp:164/8245 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—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%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
actuator design
0.212015
Design and evaluation of the Bi-directional Clutched Parallel Elastic Actuator (BIC-PEA) · ICRA 2015
Robotics › Legged, aerial and field robots
legged robots
0.212015
Design and evaluation of the Bi-directional Clutched Parallel Elastic Actuator (BIC-PEA) · ICRA 2015
Robotics › Robot manipulation › robot design › robot mechanism design
parallel elastic actuation
0.212015
Design and evaluation of the Bi-directional Clutched Parallel Elastic Actuator (BIC-PEA) · ICRA 2015
Energy-efficient computing
energy-efficient robotics
0.112015
Design and evaluation of the Bi-directional Clutched Parallel Elastic Actuator (BIC-PEA) · ICRA 2015

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

differential mechanism · 0.4clutch mechanism · 0.4
YearPublicationVenuePosition
2015 Design and evaluation of the Bi-directional Clutched Parallel Elastic Actuator (BIC-PEA)
abstract
Parallel elastic actuators (PEAs) have shown the ability to reduce the energy consumption of robots. The problem with regular PEAs is that it is not possible to freely choose at which instant or configuration to store or release energy. This paper introduces the concept and the design of the Bi-directional Clutched Parallel Elastic Actuator (BIC-PEA*), which reduces the energy consumption of robots by loading and unloading the parallel spring in a controlled manner. The concept of the BIC-PEA consists of a spring that is mounted between the two outgoing axes of a differential mechanism. Those axes can also be locked to the ground by two locking mechanisms. At any position, the BIC-PEA can store the kinetic energy of a joint in the spring such that the joint is decelerated to zero velocity. The spring energy can then be released, accelerating the joint in any desired direction. In our prototype of 202 g, the energy that can be stored in the spring is 0.77 J. When disengaged, the friction that the mechanism adds is negligible. The current maximum over-all efficiency is 62 %, which is about 55% more than what generally can be achieved by recapturing the energy electrically. Its relatively high efficiency and controllability make the BIC-PEA a promising concept for reducing the energy consumption of robots.
Michiel Plooij, Marvin van Nunspeet, Martijn Wisse, Heike Vallery
ICRA2