Ragesh K Ramachandran
Ragesh K Ramachandran
University of Southern California, Arizona state university
Verified email at usc.edu - Homepage
Title
Cited by
Cited by
Year
Limit cycles to enhance human performance based on phase oscillators
TG Sugar, A Bates, M Holgate, J Kerestes, M Mignolet, P New, ...
Journal of Mechanisms and Robotics 7 (1), 2015
432015
A method to add energy to running gait-pogosuit
J Kerestes, T Sugar, T Flaven, M Holgate, RK Ramachandran
ASME 2014 International Design Engineering Technical Conferences and …, 2014
24*2014
An Optimal Control Approach to Mapping GPS-Denied Environments using a Stochastic Robotic Swarm
RK Ramachandran, K Elamvazhuthi, S Berman
International Symposium on Robotics Research (ISRR), Sestri Levante, Italy, 2015
222015
The effect of communication topology on scalar field estimation by large networks with partially accessible measurements
RK Ramachandran, S Berman
accepted to the 2017 American Control Conference (ACC), Seattle, WA, 0
13*
Resilience by reconfiguration: Exploiting heterogeneity in robot teams
RK Ramachandran, JA Preiss, GS Sukhatme
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
92019
A probabilistic approach to automated construction of topological maps using a stochastic robotic swarm
RK Ramachandran, S Wilson, S Berman
IEEE Robotics and Automation Letters 2 (2), 616-623, 2017
92017
A probabilistic topological approach to feature identification using a stochastic robotic swarm
RK Ramachandran, S Wilson, S Berman
Distributed Autonomous Robotic Systems, 3-16, 2018
42018
Information correlated levy walk exploration and distributed mapping using a swarm of robots
RK Ramachandran, Z Kakish, S Berman
IEEE Transactions on Robotics, 2020
32020
Sampling-Based Motion Planning on Manifold Sequences
P Englert, IMR Fernández, RK Ramachandran, GS Sukhatme
arXiv preprint arXiv:2006.02027, 2020
32020
Automated construction of metric maps using a stochastic robotic swarm leveraging received signal strength
RK Ramachandran, S Berman
arXiv preprint arXiv:1903.05392, 2019
32019
Physics-based simulation of continuous-wave lidar for localization, calibration and tracking
E Heiden, Z Liu, RK Ramachandran, GS Sukhatme
2020 IEEE International Conference on Robotics and Automation (ICRA), 2595-2601, 2020
22020
Learning Manifolds for Sequential Motion Planning
IMR Fernández, G Sutanto, P Englert, RK Ramachandran, GS Sukhatme
arXiv preprint arXiv:2006.07746, 2020
12020
Resilience in multi-robot target tracking through reconfiguration
RK Ramachandran, N Fronda, GS Sukhatme
2020 IEEE International Conference on Robotics and Automation (ICRA), 4551-4557, 2020
12020
Exploration, mapping and scalar field estimation using a swarm of resource-constrained robots
RK Ramachandran
Arizona State University, 2018
12018
Resilient Monitoring in Heterogeneous Multi-robot Systems through Network Reconfiguration
RK Ramachandran, P Pierpaoli, M Egerstedt, GS Sukhatme
arXiv preprint arXiv:2008.01321, 2020
2020
Resilience in multi-robot multi-target tracking with unknown number of targets through reconfiguration
RK Ramachandran, N Fronda, GS Sukhatme
arXiv preprint arXiv:2004.07197, 2020
2020
Resilient Coverage: Exploring the Local-to-Global Trade-off
RK Ramachandran, L Zhou, GS Sukhatme
arXiv preprint arXiv:1910.01917, 2019
2019
Limit Cycles to Enhance Human Performance Based on Phase Oscillators
M Mignolet, P New, RK Ramachandran, S Redkar, C Wheeler
The system can't perform the operation now. Try again later.
Articles 1–18