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Kevin Dullea

dblp:164/8464 · 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
Legged, aerial and field robots · 40% Robot manipulation · 40% Motion planning and robot control · 20%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
actuator design
0.212015
Using parallel stiffness to achieve improved locomotive efficiency with the Sandia STEPPR robot · ICRA 2015
Robotics › Legged, aerial and field robots › legged robots
bipedal walking
0.212015
Using parallel stiffness to achieve improved locomotive efficiency with the Sandia STEPPR robot · ICRA 2015
Robotics › Legged, aerial and field robots
legged robots
0.212015
Using parallel stiffness to achieve improved locomotive efficiency with the Sandia STEPPR robot · ICRA 2015
Robotics › Robot manipulation › robot design › robot mechanism design
parallel elastic actuation
0.212015
Using parallel stiffness to achieve improved locomotive efficiency with the Sandia STEPPR robot · ICRA 2015
Robotics › Motion planning and robot control
robot control
0.212015
Using parallel stiffness to achieve improved locomotive efficiency with the Sandia STEPPR robot · ICRA 2015

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

cost of transport analysis · 0.2
YearPublicationVenuePosition
2015 Using parallel stiffness to achieve improved locomotive efficiency with the Sandia STEPPR robot
abstract
In this paper we introduce STEPPR (Sandia Transmission-Efficient Prototype Promoting Research), a bipedal robot designed to explore efficient bipedal walking. The initial iteration of this robot achieves efficient motions through powerful electromagnetic actuators and highly back-drivable synthetic rope transmissions. We show how the addition of parallel elastic elements at select joints is predicted to provide substantial energetic benefits: reducing cost of transport by 30 to 50 percent. Two joints in particular, hip roll and ankle pitch, reduce dissipated power over three very different gait types: human walking, human-like robot walking, and crouched robot walking. Joint springs based on this analysis are tested and validated experimentally. Finally, this paper concludes with the design of two unique parallel spring mechanisms to be added to the current STEPPR robot in order to provide improved locomotive efficiency.
Anirban Mazumdar, Steven J. Spencer, Jonathan Salton, Clinton Hobart, Joshua Love, Kevin Dullea, Michael Kuehl, Timothy Blada, Morgan Quigley, Jesper Smith, Sylvain Bertrand, Tingfan Wu, Jerry E. Pratt, Stephen P. Buerger
ICRA6