EDBT 2026 Demo / reviewers in the wild / expert
Kevin Dullea
dblp:164/8464
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
actuator design |
0.2 | 1 | 2015 | 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 |
0.2 | 1 | 2015 | Using parallel stiffness to achieve improved locomotive efficiency with the Sandia STEPPR robot · ICRA 2015 |
Robotics › Legged, aerial and field robots
legged robots |
0.2 | 1 | 2015 | 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 |
0.2 | 1 | 2015 | Using parallel stiffness to achieve improved locomotive efficiency with the Sandia STEPPR robot · ICRA 2015 |
Robotics › Motion planning and robot control
robot control |
0.2 | 1 | 2015 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Using parallel stiffness to achieve improved locomotive efficiency with the Sandia STEPPR robotabstractIn 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 |
ICRA | 6 |