4 citations · 7 across the 6 of their papers we have counts for
11 papers
The Role of Heterogeneity in Autonomous Perimeter Defense Problems
Aviv Adler, Oscar Mickelin, Ragesh K. Ramachandran +2
When is heterogeneity in the composition of an autonomous robotic team beneficial and when is it detrimental? We investigate and answer this question in the context of a minimally…
Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams
Siddharth Mayya, Ragesh K. Ramachandran, Lifeng Zhou +2
We consider a scenario where a team of robots with heterogeneous sensors must track a set of hostile targets which induce sensory failures on the robots. In particular, the likelih…
Learning Equality Constraints for Motion Planning on Manifolds
Giovanni Sutanto, Isabel M. Rayas Fernández, Peter Englert +2
Constrained robot motion planning is a widely used technique to solve complex robot tasks. We consider the problem of learning representations of constraints from demonstrations wi…
Learning Manifolds for Sequential Motion Planning
Isabel M. Rayas Fernández, Giovanni Sutanto, Peter Englert +2
Motion planning with constraints is an important part of many real-world robotic systems. In this work, we study manifold learning methods to learn such constraints from data. We e…
Resilience in multi-robot multi-target tracking with unknown number of targets through reconfiguration
Ragesh K. Ramachandran, Nicole Fronda, Gaurav S. Sukhatme
We address the problem of maintaining resource availability in a networked multi-robot team performing distributed tracking of unknown number of targets in an environment of intere…
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…