Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jonathan Luke du Bois
dblp:132/2555
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0002-9424-5230ORCID · reported
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 · 100% |
Topics — the 2 heaviest of 2, 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 |
0.3 | 1 | 2018 | Agile and Adaptive Hopping Height Control for a Pneumatic Robot · ICRA 2018 |
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion |
0.3 | 1 | 2018 | Agile and Adaptive Hopping Height Control for a Pneumatic Robot · ICRA 2018 |
Methods — techniques the papers use, named apart from their topics
pneumatic actuation · 0.3iterative learning control · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Agile and Adaptive Hopping Height Control for a Pneumatic RobotabstractThis paper presents a controller for the vertical height of a hopping robot. The ability to accurately change the hop height every step will contribute toward the traversal of discontinuous terrain with limited safe footholds, with application to bipedal or quadrupedal running. A key feature of the approach presented is the use of information from previous hops/steps to inform the control of the current step. As well as avoiding modelling errors, this allows the robot to make on-line adjustments in response to changes in system parameters or the environment. The algorithm is simple enough to be easily implemented on a low power hardware, not requiring computationally demanding optimisation or numerical simulation. The effectiveness of this approach has been demonstrated for constrained vertical hopping in simulation and on a pneumatically actuated hopper. Matthew F. Hale, Jonathan Luke du Bois, Pejman Iravani |
ICRA | 2 |