Demo Data from SIGIR 2026 / reviewers in the wild / expert
M. Braae
dblp:139/3758
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2
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 · 62% Motion planning and robot control · 38% |
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 › bio-inspired robot
bio-inspired robot locomotion |
0.2 | 1 | 2014 | Rapid acceleration and braking: Inspirations from the cheetah's tail · ICRA 2014 |
Robotics › Motion planning and robot control › robot control
feedback control |
0.1 | 1 | 2014 | Rapid acceleration and braking: Inspirations from the cheetah's tail · ICRA 2014 |
Robotics › Motion planning and robot control
robot control |
0.1 | 1 | 2014 | Rapid acceleration and braking: Inspirations from the cheetah's tail · ICRA 2014 |
Methods — techniques the papers use, named apart from their topics
template model · 0.2feedback controller design · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Rapid acceleration and braking: Inspirations from the cheetah's tailabstractStimulated by recent biomechanics research of the cheetah, a novel tail controller system for rapid acceleration and braking is presented. To understand the targeted behaviour of a cheetah performing a longitudinal manoeuvre and the effects an actuated tail has, a simple mathematical template was developed. Subsequently feedback controllers were designed based on our hypothesis. Finally, the control system was experimentally tested on a reduced order robot model which increased its manoeuvrability considerably. Amir Patel, M. Braae |
ICRA | 2 |
| 2013 | Rapid turning at high-speed: Inspirations from the cheetah's tailabstractInspired by the cheetah, we present a novel tail control system for manoeuvring terrestrial robots at high speed. The mathematic model for a high-speed turn is derived and the model with a tail is shown to be more successful at rapid turns in simulation. We then built a high speed mobile platform with an actuated tail to experimentally validate the control algorithms. Further controller development is performed based on results of the initial simulations. Finally, we show that by rapidly swinging the tail, our system is capable of turning at much higher speeds than a tail-less version. Amir Patel, M. Braae |
IROS | 2 |