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Sasanka Nagavalli

4 accepted papers

2018

Using Information Invariants to Compare Swarm Algorithms and General Multi-Robot Algorithms

ICRA 2018poster

Robotic swarms are decentralized multi-robot systems whose members use local information from proximal neighbors to execute simple reactive control laws that result in emergent collective behaviors. In contrast, members of a general multi-robot system may have access to global information, all-to-al…

Cited by 3SourceScholar
2017

Automated sequencing of swarm behaviors for supervisory control of robotic swarms

ICRA 2017poster

Robotic swarms are distributed systems that exhibit global behaviors arising from local interactions between individual robots. Each robot can be programmed with several local control laws that can be activated depending on an operator's choice of global swarm behavior. While some simple behaviors (…

Cited by 44SourceScholar
2017

Decentralized coordinated motion for a large team of robots preserving connectivity and avoiding collisions

ICRA 2017poster

We consider the general problem of moving a large number of networked robots toward a goal position through a cluttered environment while preserving network communication connectivity and avoiding both inter-robot collisions and collision with obstacles. In contrast to previous approaches that eithe…

Cited by 7SourceScholar
2016

Distributed knowledge leader selection for multi-robot environmental sampling under bandwidth constraints

IROS 2016poster

In many multi-robot applications such as target search, environmental monitoring and reconnaissance, the multi-robot system operates semi-autonomously, but under the supervision of a remote human who monitors task progress. In these applications, each robot collects a large amount of task-specific d…

Cited by 24SourceScholar