Demo Data from EDBT 2026 / reviewers in the wild / expert
Adithya Boddu
dblp:122/5452
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, 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
1 paper |
Multi-agent systems · 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 |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems › multi-agent control
multi-agent navigation |
0.1 | 1 | 2012 | Multiagent Navigation Functions Revisited · IEEE Trans. Robotics 2012 |
Robotics › Motion planning and robot control › motion planning › feedback motion planning
navigation functions |
0.1 | 1 | 2012 | Multiagent Navigation Functions Revisited · IEEE Trans. Robotics 2012 |
Robotics › Motion planning and robot control
collision avoidance |
0.0 | 1 | 2012 | Multiagent Navigation Functions Revisited · IEEE Trans. Robotics 2012 |
Knowledge, reasoning and agents › Multi-agent systems
formation control |
0.0 | 1 | 2012 | Multiagent Navigation Functions Revisited · IEEE Trans. Robotics 2012 |
Methods — techniques the papers use, named apart from their topics
nonsmooth potential functions · 0.1lyapunov analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Multiagent Navigation Functions RevisitedabstractThis paper presents a methodology to design a control law that can provably steer a group of mobile agents to a free-floating formation of specific shape, while avoiding collisions. We indicate why existing multiagent solutions have a theoretical limitation due to one of the working assumptions of the single-agent potential function approach being violated. A new nonsmooth type of multiagent potential functions is, thus, developed. It is shown how this extension of the navigation function concept to multiagent systems ensures the nondegeneracy of the critical points of the potential function. Herbert G. Tanner, Adithya Boddu |
IEEE Trans. Robotics | 2 |