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Research

Research Overview

My research advances energy- and risk-aware routing for autonomous drone fleets by blending combinatorial optimization, metaheuristics, and machine learning–based forecasts to tackle limited battery capacity and strategic recharging stops. I first developed hybrid metaheuristic algorithms for multi‑depot routing with rechargeable reusable vehicles under nominal conditions. To handle unexpected vehicle failures, I then designed a dynamic rescheduling auction algorithm that detects in‑field failures and reroutes missions on the fly to prevent disruptions.

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I am now working on integrating graph neural network–based predictions of icy road formation into a unified prediction-and-routing framework. This adaptive approach fuses real-time weather and road-condition forecasts with routing decisions to proactively address the effects of changing weather on winter road safety. My future interests include swarm intelligence and the study of emergent behavior in multi‑robot systems.

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Orcid id: https://orcid.org/0000-0002-1784-7043

Publications

    • Sathyamurthy, E., Herrmann, J. W., & Azarm, S. (2024). Rescheduling after vehicle failures in the multi-depot rural postman problem with rechargeable and reusable vehicles. arXiv preprint arXiv:2411.04073. link

    • E. Sathyamurthy, J. W. Herrmann and S. Azarm, "Hybrid Metaheuristic Approaches for the Multi-Depot Rural Postman Problem With Rechargeable and Reusable Vehicles," in IEEE Access, vol. 12, pp. 86523-86540, 2024, doi: 10.1109/ACCESS.2024.3414331. link

    • Sathyamurthy, E, Richardson, J, Herrmann, JW, & Raglin, A. "Metareasoning to Adapt Path Planning Decision Making for Different Modalities of Uncertainty." Proceedings of the ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 9: 20th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC). Washington, DC, USA. August 25–28, 2024. V009T09A028. ASME. link

    • ​Sathyamurthy, E, Azarm, S, & Herrmann, JW. "Multi-Trip Algorithm for Multi-Depot Rural Postman Problem With Rechargeable Vehicles." Proceedings of the ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 1: 26th International Conference on Advanced Vehicle Technologies (AVT). Washington, DC, USA. August 25–28, 2024. V001T01A017. ASME. link

    • Sathyamurthy, E. (2021). Multi-flight algorithms for multi-UAV arc routing problem (Order No. 28860984). Available from ProQuest Dissertations & Theses Global. (2633849197). link

Peer Reviews

    • Computers & Industrial engineering (CAIE) x3

    •  IEEE Robotics and Automation Letters (RA-L) x2

    • Robotics and Autonomous Systems

    1. Modeling, Estimation and Control Conference 2025

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