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), 011001, 2015 | 67 | 2015 |
Named entity recognition on bio-medical literature documents using hybrid based approach R Ramachandran, K Arutchelvan Journal of Ambient Intelligence and Humanized Computing, 1-10, 2021 | 41 | 2021 |
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 | 41 | 2019 |
A method to add energy to running gait: Pogosuit J Kerestes, TG Sugar, T Flaven, M Holgate, RK Ramachandran International Design Engineering Technical Conferences and Computers and …, 2014 | 34* | 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 | 31 | 2015 |
Information correlated Lévy walk exploration and distributed mapping using a swarm of robots RK Ramachandran, Z Kakish, S Berman IEEE Transactions on Robotics 36 (5), 1422-1441, 2020 | 29 | 2020 |
Resilience in multirobot multitarget tracking with unknown number of targets through reconfiguration RK Ramachandran, N Fronda, GS Sukhatme IEEE Transactions on Control of Network Systems 8 (2), 609-620, 2021 | 26 | 2021 |
Resilient monitoring in heterogeneous multi-robot systems through network reconfiguration RK Ramachandran, P Pierpaoli, M Egerstedt, GS Sukhatme IEEE Transactions on Robotics 38 (1), 126-138, 2021 | 22 | 2021 |
Learning equality constraints for motion planning on manifolds G Sutanto, IR Fernández, P Englert, RK Ramachandran, G Sukhatme Conference on Robot Learning, 2292-2305, 2021 | 21 | 2021 |
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 | 17 | 2020 |
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 | 16 | 2020 |
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 | 15 | 2017 |
Adaptive and risk-aware target tracking for robot teams with heterogeneous sensors S Mayya, RK Ramachandran, L Zhou, V Senthil, D Thakur, GS Sukhatme, ... IEEE Robotics and Automation Letters 7 (2), 5615-5622, 2022 | 14 | 2022 |
The effect of communication topology on scalar field estimation by large networks with partially accessible measurements RK Ramachandran, S Berman in 2017 American Control Conference (ACC), Seattle, WA, 2017 | 14* | 2017 |
Sampling-based motion planning on sequenced manifolds P Englert, IMR Fernández, RK Ramachandran, GS Sukhatme arXiv preprint arXiv:2006.02027, 2020 | 12 | 2020 |
Resilient Coverage: Exploring the Local-to-Global Trade-off RK Ramachandran, L Zhou, J Priess, GS Sukhatme IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020 | 11 | 2020 |
The role of heterogeneity in autonomous perimeter defense problems A Adler, O Mickelin, RK Ramachandran, GS Sukhatme, S Karaman International Workshop on the Algorithmic Foundations of Robotics, 115-131, 2022 | 9 | 2022 |
Learning Manifolds for Sequential Motion Planning IMR Fernández, G Sutanto, P Englert, RK Ramachandran, GS Sukhatme arXiv preprint arXiv:2006.07746, 2020 | 7 | 2020 |
Sampling-Based Motion Planning on Manifold Sequences P Englert, IMR Fernández, RK Ramachandran, GS Sukhatme arXiv preprint arXiv:2006.02027, 2020 | 6 | 2020 |
ArRaNER: A novel named entity recognition model for biomedical literature documents R Ramachandran, K Arutchelvan The Journal of Supercomputing 78 (14), 16498-16511, 2022 | 5 | 2022 |