4 citations · 7 across the 6 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…