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Adithya Boddu

dblp:122/5452 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems › multi-agent control
multi-agent navigation
0.112012
Multiagent Navigation Functions Revisited · IEEE Trans. Robotics 2012
Robotics › Motion planning and robot control › motion planning › feedback motion planning
navigation functions
0.112012
Multiagent Navigation Functions Revisited · IEEE Trans. Robotics 2012
Robotics › Motion planning and robot control
collision avoidance
0.012012
Multiagent Navigation Functions Revisited · IEEE Trans. Robotics 2012
Knowledge, reasoning and agents › Multi-agent systems
formation control
0.012012
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
YearPublicationVenuePosition
2012 Multiagent Navigation Functions Revisited
abstract
This 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. Robotics2