Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kale Harbick
dblp:69/2132
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2002
—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 · 50% Motion planning and robot control · 50% |
Topics — the 4 heaviest of 4, 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
hopping height control |
0.0 | 1 | 2002 | Controlling Hopping Height of a Pneumatic Monopod · ICRA 2002 |
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion |
0.0 | 1 | 2002 | Controlling Hopping Height of a Pneumatic Monopod · ICRA 2002 |
Robotics › Motion planning and robot control › robot control
model-based control |
0.0 | 1 | 2002 | Controlling Hopping Height of a Pneumatic Monopod · ICRA 2002 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 2002 | Controlling Hopping Height of a Pneumatic Monopod · ICRA 2002 |
Methods — techniques the papers use, named apart from their topics
symmetry assumptions · 0.0pneumatic spring model · 0.0PD control · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | Controlling Hopping Height of a Pneumatic MonopodabstractWe describe a model-based height controller for a hopping robot with a pneumatically powered leg. The controller explicitly models variation in the leg angle and height. Using an explicit model of the physics of the pneumatic spring and some symmetry assumptions, we derive the desired leg-length setting to regulate apex hopping height using a PD controller. Simulation experiments of hopping in the sagittal plane show reasonable height regulation. For low-speed running, we take advantage of the small variations in the leg angle about the vertical, and demonstrate that the original symmetry assumptions may be relaxed by restricting the leg angle to /spl pi//2. Simulations show that the restricted model outperforms the original model by a small but significant amount. Kale Harbick, Gaurav S. Sukhatme |
ICRA | 1 |