no code implementations • 19 Jul 2023 • Shridhar Velhal, Suresh Sundaram, Narasimhan Sundararajan
In this paper, a Priority-based Dynamic REsource Allocation with decentralized Multi-task assignment (P-DREAM) approach is presented to protect a territory from highly manoeuvring intruders.
no code implementations • 15 Jun 2023 • Jayabrata Chowdhury, Vishruth Veerendranath, Suresh Sundaram, Narasimhan Sundararajan
Our proposed approach combines a predictive model and an RL agent to plan for comfortable and safe maneuvers.
no code implementations • 14 Dec 2022 • Aniruddh Sikdar, Sumanth Udupa, Suresh Sundaram, Narasimhan Sundararajan
Building segmentation in high-resolution InSAR images is a challenging task that can be useful for large-scale surveillance.
no code implementations • 22 Jun 2021 • Sauranil Debarshi, Suresh Sundaram, Narasimhan Sundararajan
Combined with a self-regulating learning scheme for improving generalization performance, the proposed EMRAN-aided control architecture aids a basic PID cruise and Stanley path-tracking controllers in a coupled form.
no code implementations • 15 Feb 2021 • Shridhar Velhal, Suresh Sundaram, Narasimhan Sundararajan
This paper provides a new solution approach to a multi-player perimeter defense game, in which the intruders' team tries to enter the territory, and a team of defenders protects the territory by capturing intruders on the perimeter of the territory.
no code implementations • 31 Jan 2020 • Nishant Mohanty, Mohitvishnu S. Gadde, Suresh Sundaram, Narasimhan Sundararajan, P. B. Sujit
One of the crucial problems in robotic swarm-based operation is to search and neutralize heterogeneous targets in an unknown and uncertain environment, without any communication within the swarm.
Multiagent Systems
no code implementations • 28 Feb 2019 • Abeegithan Jeyasothy, Suresh Sundaram, Savitha Ramasamy, Narasimhan Sundararajan
A set of FSFs corresponding to each output class represents the extracted knowledge from the classifier.