activity
20162022
most citedInformation correlated Levy walk exploration and distributed mapping using a swarm of robots

30 citations · 57 across the 12 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

cs.CV2019

Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking

Eric Heiden, Ziang Liu, Ragesh K. Ramachandran +1

Light Detection and Ranging (LIDAR) sensors play an important role in the perception stack of autonomous robots, supplying mapping and localization pipelines with depth measurement…

cs.RO2019

Resilience in multi-robot target tracking through reconfiguration

Ragesh K. Ramachandran, Nicole Fronda, Gaurav S. Sukhatme

We address the problem of maintaining resource availability in a networked multi-robot system performing distributed target tracking. In our model, robots are equipped with sensing…

cs.RO2019

Resilient Coverage: Exploring the Local-to-Global Trade-off

Ragesh K. Ramachandran, Lifeng Zhou James A. Preiss, Gaurav S. Sukhatme

We propose a centralized control framework to select suitable robots from a heterogeneous pool and place them at appropriate locations to monitor a region for events of interest. I…

cs.RO2019★ 1 cited

Automated Construction of Metric Maps using a Stochastic Robotic Swarm Leveraging Received Signal Strength

Ragesh K. Ramachandran, Spring Berman

In this work, we present a novel automated procedure for constructing a metric map of an unknown domain with obstacles using uncertain position data collected by a swarm of resourc…

cs.RO2019

Resilience by Reconfiguration: Exploiting Heterogeneity in Robot Teams

Ragesh K. Ramachandran, James A. Preiss, Gaurav S. Sukhatme

We propose a method to maintain high resource in a networked heterogeneous multi-robot system to resource failures. In our model, resources such as and computation are available on…

cs.RO2019★ 30 cited

Information correlated Levy walk exploration and distributed mapping using a swarm of robots

Ragesh K. Ramachandran, Zahi Kakish, Spring Berman

In this work, we present a novel distributed method for constructing an occupancy grid map of an unknown environment using a swarm of robots with global localization capabilities a…