Demo Data from EDBT 2026 / reviewers in the wild / expert
Mohammed-Redha Benachenhou
dblp:135/8162
· DBLP profile ↗
2ranked-venue papers
1as 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 · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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
2 papers |
Legged, aerial and field robots · 45% Multi-agent systems · 37% Motion planning and robot control · 18% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots
field robotics |
0.2 | 2 | 2014 | Electric Sensor-Based Control of Underwater Robot Groups · IEEE Trans. Robotics 2014 Synthesis of an electric sensor based control for underwater multi-agents navigation in a file · ICRA 2013 |
Robotics › Motion planning and robot control
robot control |
0.2 | 1 | 2014 | Electric Sensor-Based Control of Underwater Robot Groups · IEEE Trans. Robotics 2014 |
Robotics › Legged, aerial and field robots
underwater robotics |
0.2 | 1 | 2014 | Electric Sensor-Based Control of Underwater Robot Groups · IEEE Trans. Robotics 2014 |
Knowledge, reasoning and agents › Multi-agent systems
formation control |
0.2 | 1 | 2013 | Synthesis of an electric sensor based control for underwater multi-agents navigation in a file · ICRA 2013 |
Knowledge, reasoning and agents › Multi-agent systems › multi-agent control
multi-agent navigation |
0.2 | 1 | 2013 | Synthesis of an electric sensor based control for underwater multi-agents navigation in a file · ICRA 2013 |
Knowledge, reasoning and agents › Multi-agent systems › multi-agent control
cooperative control |
0.1 | 1 | 2014 | Electric Sensor-Based Control of Underwater Robot Groups · IEEE Trans. Robotics 2014 |
Robotics › Legged, aerial and field robots › underwater robotics
autonomous underwater vehicle |
0.0 | 1 | 2013 | Synthesis of an electric sensor based control for underwater multi-agents navigation in a file · ICRA 2013 |
Methods — techniques the papers use, named apart from their topics
electric current servoing · 0.2convergence analysis · 0.2sensor-based control · 0.2electric sense · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Electric Sensor-Based Control of Underwater Robot GroupsabstractSome fish species use electric sense to navigate efficiently in the turbid waters of confined spaces. This paper presents a first attempt to use this sense to control a group of nonholonomic rigid underwater vehicles navigating in a cooperative way. A leader whose motion is unknown to the others serves as an active agent for its passive neighbor, which perceives the leader's electric field via current measurements and moves in order to follow a trajectory relative to it. Then, this passive agent, becomes in its turn the leader for the next agent and so on. Sufficient conditions of convergence of the control law are derived for electric current servoing. This is achieved without the explicit knowledge of the location of the agents. Some limits on the possible motion of the leader along with the importance of the choice of controlled outputs are demonstrated. Switching between different group configurations by following a virtual agent is also described. Simulation and experimental results illustrate the theoretical study. Christine Chevallereau, Mohammed-Redha Benachenhou, Vincent Lebastard, Frédéric Boyer |
IEEE Trans. Robotics | 2 |
| 2013 | Synthesis of an electric sensor based control for underwater multi-agents navigation in a fileabstractThanks to an electro-sensible skin, some species of fish can feel the surrounding electric field generated by them-self or other fish. Known under the name of “electric-sense”, this ability allows these fish to navigate in confined surroundings. Based on a bio-inspired electric sensor, this article presents how this electric sense can be used for the navigation in formation of several underwater vehicles. The formation considered is a file, each vehicle is assumed to follow its predecessor at a given distance. In confined environment, the file formation is interesting since fish can follow the same safe path. Being based on the servoing of the electric measurements, these laws do not require the knowledge of the location of the agents. The underwater vehicle studied have non holonomic properties, their forward velocity has no lateral component. Depending on the choice of the controlled outputs (combination of electric measures) we will see that path followed by the follower agents can be different and a methodology to choose the output will be defined in order that all the agents follow the leader path in presence of curved motion of the leader. The influence of the number of electrodes is discussed. Simulation results illustrate the proposed approach. Mohammed-Redha Benachenhou, Christine Chevallereau, Vincent Lebastard, Frédéric Boyer |
ICRA | 1 |