Publications

Aviv Adler, Oscar Mickelin, Ragesh Kumar Ramachandran, Gaurav Sukhatme, Sertac Karaman (2022). The Role of Heterogeneity in Autonomous Perimeter Defense Problems. Accepted to WAFR 2022.

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Ragesh Kumar Ramachandran, Nicole Fronda, James Priess, Zhenghao Dai, Gaurav Sukhatme (2022). Resilient Multi-Robot Multi-Target Tracking. Accepted to T-ASE 2022.

Ragesh Kumar Ramachandran, Pietro Pierpaoli, Magnus Egerstedt, Gaurav Sukhatme (2021). Resilient Monitoring in Heterogeneous Multi-robot System through Network Reconfiguration. Accepted to T-RO 2021.

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Siddharth Mayya, Ragesh Kumar Ramachandran, Lifeng Zhou, Vinay Senthil, Dinesh Thakur, Gaurav Sukhatme, Vijay Kumar (2021). Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams. Accepted to IEEE RA-L 2022.

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Peter Englert, Isabel Rayas Fernandez, Ragesh Kumar Ramachandran, Gaurav Sukhatme (2021). Sampling-Based Motion Planning on Manifold Sequences. In RSS 2021.

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Ragesh Kumar Ramachandran, Lifeng Zhou, James Preiss, Gaurav Sukhatme (2020). Resilient Coverage: Exploring the Local-to-Global Trade-off. In IROS 2020.

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Ragesh Kumar Ramachandran, Nicole Fronda, Gaurav Sukhatme (2020). Resilience in multi-robot multi-target tracking with unknown number of targets through reconfiguration. TCNS 2020.

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Isabel Rayas Fernandez, Giovanni Sutanto, Peter Englert, Ragesh Kumar Ramachandran, Gaurav Sukhatme (2020). Learning Manifolds for Sequential Motion Planning. RSS 2020 Workshop on Learning (in) Task and Motion Planning.

Renato Fernando dos Santos, Ragesh Kumar Ramachandran, Marcos Vieira, Gaurav Sukhatme (2020). Pac-Man is Overkill. Accepted to appear in IROS 2020.

Giovanni Sutanto, Isabel Rayas Fernandez, Peter Englert, Ragesh Kumar Ramachandran, Gaurav Sukhatme (2020). Learning Equality Constraints for Motion Planning on Manifolds. In CoRL 2020.

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Ragesh Kumar Ramachandran, Zahi Kakish, Spring Berman (2020). Information Correlated Lévy Walk Exploration and Distributed Mapping Using a Swarm of Robots. In TRO 2020.

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Ragesh Kumar Ramachandran, Nicole Fronda, Gaurav Sukhatme (2019). Resilience in multi-robot target tracking through reconfiguration. In ICRA 2020.

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Ragesh Kumar Ramachandran, James Preiss, Gaurav Sukhatme (2019). Resilience by Reconfiguration: Exploiting Heterogeneity in Robot Teams. In IROS 2019.

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Ragesh Kumar Ramachandran, James Preiss, Gaurav Sukhatme (2019). Resilience by Reconfiguration: Exploiting Heterogeneity in Robot Teams. ICRA 2019 Workshop on Resilient Robot Teams: Composing, Acting, and Learning.

Ragesh Kumar Ramachandran, Spring Berman (2019). Post Processing of Occupancy Grid Maps using Persistent Homology. ICRA 2019 Workshop on Emerging Topological Techniques in Robotics.

Eric Heiden, Ziang Liu, Ragesh Kumar Ramachandran, Gaurav Sukhatme (2019). Physics-based Simulation of Continuous-Wave LIDAR for Localization. In ICRA 2020.

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Ragesh Kumar Ramachandran, Spring Berman (2019). Automated construction of metric maps using a stochastic robotic swarm leveraging received signal strength. In SWARM 2019.

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Ragesh Kumar Ramachandran (2018). Exploration, Mapping and Scalar Field Estimation using a Swarm of Resource-Constrained Robots. Ph.D. Thesis, Arizona State University.

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Ragesh Kumar Ramachandran, Sean Wilson, Spring Berman (2018). A Probabilistic Topological Approach to Feature Identification using a Stochastic Robotic Swarm. In DARS 2016.

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Ragesh Kumar Ramachandran, Spring Berman (2017). The effect of communication topology on scalar field estimation by large networks with partially accessible measurements. In ACC 2017.

Ragesh Kumar Ramachandran, Sean Wilson, Spring Berman (2017). A Probabilistic Approach to Automated Construction of Topological Maps using a Stochastic Robotic Swarm. In RAL 2017.

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Ragesh Kumar Ramachandran, Spring Berman (2016). Topological Mapping Using a Heterogeneous Robotic Swarm. ICRA 2016 Workshop on Emerging Topological Techniques in Robotics.

Ragesh Kumar Ramachandran, Karthik Elamvazhuthi, Spring Berman (2015). An Optimal Control Approach to Mapping GPS-Denied Environments using a Stochastic Robotic Swarm. In ISRR 2015.

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Thomas Sugar, Andrew Bates, Matthew Holgate, Jason Kerestes, Marc Mignolet, Philip New, Ragesh Kumar Ramachandran, Sangram Redkar, Chase Wheeler (2015). Limit Cycles to Enhance Human Performance Based on Phase Oscillators. In JMR 2015.

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Jason Kerestes, Thomas Sugar, Thierry Flaven, Matthew Holgate, Ragesh Kumar Ramachandran (2014). A method to add energy to running gait - Pogosuit. 38th Mechanisms and Robotics Conference 2014.

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Ragesh Kumar Ramachandran, Vivek M Elayidom, A P Sudheer (2009). Target Location algorithm for Automation Assistance in Weld Industries. In COSMA 2009.