Demo Data from EDBT 2026 / reviewers in the wild / expert
K. D. Farrell
dblp:57/3252
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2007
—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 |
Legged, aerial and field robots · 87% Motion planning and robot control · 13% |
Topics — the 2 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 › legged robot locomotion
bipedal locomotion |
0.1 | 1 | 2007 | Energetic Effects of Adding Springs at the Passive Ankles of a Walking Biped Robot · ICRA 2007 |
Robotics › Legged, aerial and field robots
energy optimization |
0.1 | 1 | 2007 | Energetic Effects of Adding Springs at the Passive Ankles of a Walking Biped Robot · ICRA 2007 |
Methods — techniques the papers use, named apart from their topics
trajectory optimization · 0.1stability analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Energetic Effects of Adding Springs at the Passive Ankles of a Walking Biped RobotabstractThis paper investigates the energetic effects of adding springs at the passive ankles of a planar five-link, four-actuator walking biped robot. The energetic cost of walking with springs was determined by using a walking motion designed for the biped without springs added. The walking motion was then optimized for the presence of springs of various arbitrarily chosen stiffnesses and offset angles. The stability properties of the motions that resulted were checked. The energetic costs of walking and standing were then computed. It was found that standing with springs was more efficient, while walking was more costly than the same action without springs. Finally, the spring characteristics (stiffness and offset angle) and the motion were optimized simultaneously. The costs for walking and standing were computed, revealing that walking with springs was more efficient and standing was more costly than doing either without springs. A methodical approach to choosing the size of the feet based on this analysis of the spring characteristics is also presented. K. D. Farrell, Christine Chevallereau, Eric R. Westervelt |
ICRA | 1 |