Demo Data from SIGIR 2026 / reviewers in the wild / expert
J. G. Daniël Karssen
dblp:76/154
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 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 |
Legged, aerial and field robots · 67% Motion planning and robot control · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots
legged robots |
0.1 | 1 | 2011 | The optimal swing-leg retraction rate for running · ICRA 2011 |
Robotics › Motion planning and robot control
robot control |
0.1 | 1 | 2011 | The optimal swing-leg retraction rate for running · ICRA 2011 |
Robotics › Legged, aerial and field robots › legged robots
running robots |
0.1 | 1 | 2011 | The optimal swing-leg retraction rate for running · ICRA 2011 |
Methods — techniques the papers use, named apart from their topics
dynamic simulation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | The optimal swing-leg retraction rate for runningabstractSwing-leg retraction was introduced as a way to improve the stability and disturbance rejection of running robots. It was also suggested that the reduced foot speed due to swing-leg retraction can help reduce impact energy losses, decrease peak forces, and minimize foot slipping. However, the extent to which swing-leg retraction rate influences all these benefits was unknown. In this paper, we present a study on the effect of swing-leg retraction rate on these benefits. The results of this study show that swing-leg retraction can indeed improve the performance of running robots in all of the suggested areas. However, the results also show that, for moderate and high running speeds, the optimal retraction rate for maximal disturbance rejection and stability is different from the optimal retraction rate for minimal impact losses, peak forces, and foot slipping. This discrepancy indicates an inherent tradeoff to consider when selecting the retraction rate for a robot control system: in general, retraction rate can be optimized for better stability and disturbance rejection or for more favorable efficiency, impact forces, and footing stability, but not all simultaneously. Furthermore, this tradeoff becomes more severe as running speed increases. J. G. Daniël Karssen, Matt Haberland, Martijn Wisse, Sangbae Kim |
ICRA | 1 |
| 2011 | The effect of swing leg retraction on running energy efficiencyabstractSwing leg retraction reduces touchdown energy losses of running by decreasing foot speed at the moment of ground contact, but does the additional acceleration of the swing leg cost more energy than is saved? To determine whether swing leg retraction can increase the overall energy efficiency of running robots, we find the optimally efficient gaits of a McGeer-like runner over a range of retraction rates. Results show that overall energy usage, including that used to swing the legs, scales with energy loss at touchdown, which is minimized at the retraction rate that zeros foot tangential speed at ground contact. Other benefits of swing leg retraction, such as reduced foot slippage and damaging touchdown forces, are realized simultaneously with optimal energy efficiency. Matt Haberland, J. G. Daniël Karssen, Sangbae Kim, Martijn Wisse |
IROS | 2 |