Demo Data from SIGIR 2026 / reviewers in the wild / expert
Ivo Jansen
dblp:181/4242
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
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 |
Motion planning and robot control · 77% Legged, aerial and field robots · 23% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
reachability-based control |
0.2 | 1 | 2016 | Safe and robust robot maneuvers based on reach control · ICRA 2016 |
Robotics › Motion planning and robot control › robot control › operational space control
region reaching control |
0.2 | 1 | 2016 | Safe and robust robot maneuvers based on reach control · ICRA 2016 |
Robotics › Legged, aerial and field robots
aerial robots |
0.1 | 1 | 2016 | Safe and robust robot maneuvers based on reach control · ICRA 2016 |
Robotics › Legged, aerial and field robots › aerial robots
quadrotor |
0.1 | 1 | 2016 | Safe and robust robot maneuvers based on reach control · ICRA 2016 |
Methods — techniques the papers use, named apart from their topics
reach control · 0.2piecewise affine feedback · 0.2lyapunov stability · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Safe and robust robot maneuvers based on reach controlabstractIn this paper, we investigate the synthesis of piecewise affine feedback controllers to address the problem of safe and robust controller design in robotics based on high-level controls specifications. The methodology is based on formulating the problem as a collection of reach control problems on a polytopic state space. Reach control has so far only been developed in theory and has not been tested experimentally on a real system before. Using a quadrocopter as our experimental platform, we show that these theoretical tools can achieve fast, albeit safe and robust maneuvers. In contrast to most traditional control techniques, the reach control approach does not require a predefined open-loop reference trajectory or spacial path. Experimental results on a quadrocopter show the effectiveness and robustness of this control approach. In a proof-of-concept demonstration, the reach controller is implemented in one translational direction while the other degrees of freedom are stabilized by separate controllers. Marijan Vukosavljev, Ivo Jansen, Mireille E. Broucke, Angela P. Schoellig |
ICRA | 2 |