Autonomous Systems for Whale Research
Field robotic systems for remote tracking, rendezvous, and biological observation of sperm whales.
Field robotic systems for remote tracking, rendezvous, and biological observation of sperm whales.
Multi-robot coordination, decentralized exploration, and wireless signals as an onboard sensing modality.
Published in International Symposium of Robotics Research (ISRR)
Framework for improving collaboration amongst a team of robots performing distributed Pose Graph Optimization (PGO)
Recommended citation: W. Wang, N. Jadhav, P. A. Vohs, N. Hughes, M. Mazumder, and S. Gil, “Active Rendezvous for Multi-Robot Pose Graph Optimization using Sensing over Wi-Fi,” International Symposium of Robotics Research (ISRR), pp. 832–849, 2019.
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Published in IEEE 61st Conference on Decision and Control (CDC)
An adaptive approach to detecting malicious robots in networks with dynamic topologies.
Recommended citation: M. Cavorsi, N. Jadhav, D. Saldaña, and S. Gil, “Adaptive Malicious Robot Detection in Dynamic Topologies,” IEEE 61st Conference on Decision and Control (CDC), pp. 2236–2243, 2022.
Published in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
A toolbox for WiFi-based relative bearing estimation on robotic platforms.
Recommended citation: N. Jadhav, W. Wang, D. Zhang, S. Kumar, and S. Gil, “Toolbox Release: A WiFi-Based Relative Bearing Framework for Robotics,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 13714–13721, 2022.
Published in IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
A bottleneck-analysis tool for characterizing onboard computing performance in autonomous aerial vehicles.
Recommended citation: S. Krishnan, Z. Wan, K. Bhardwaj, N. Jadhav, A. Faust, and V. J. Reddi, “Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles,” IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), pp. 162–174, 2022.
Published in The International Journal of Robotics Research (IJRR)
A wireless sensing framework that allows robots to estimate signal directionality using onboard motion and sensing.
Recommended citation: N. Jadhav*, W. Wang*, D. Zhang, O. Khatib, S. Kumar, and S. Gil, “A wireless signal-based sensing framework for robotics,” The International Journal of Robotics Research (IJRR), vol. 41, pp. 955–992, 2022. *Equal contribution.
Published in IEEE Robotics and Automation Letters (RA-L)
An open-set system for real-time detection, tracking, and robotic following.
Recommended citation: A. Maalouf, N. Jadhav, K. Jatavallabhula, M. Chahine, D. Vogt, R. J. Wood, A. Torralba, and D. Rus, “Follow Anything: Open-Set Detection, Tracking, and Following in Real-Time,” IEEE Robotics and Automation Letters (RA-L), vol. 9, pp. 3283–3290, 2023.
Published in 40th Anniversary of the IEEE International Conference on Robotics and Automation (ICRA@40)
An open-source simulation framework for WiFi-CSI sensing and bearing estimation in multi-robot systems.
Recommended citation: B. Dijkstra, N. Jadhav, A. Sloot, M. Marcantoni, B. Jayawardhana, S. Gil, and B. Haghighat, “WiFi-CSI Sensing and Bearing Estimation in Multi-Robot Systems: An Open-Source Simulation Framework,” ICRA@40, 2024.
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Published in Science Robotics
Recommended citation: N. Jadhav*, S. Bhattacharya*, D. Vogt, Y. Aluma, P. Tonessen, A. Prabhakara, S. Kumar, S. Gero, R. J. Wood, and S. Gil, “Reinforcement learning-based framework for whale rendezvous via autonomous sensing robots,” Science Robotics, vol. 9, no. 95, eadn7299, 2024. *Equal contribution.
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Published in International Symposium of Experimental Robotics (ISER)
A decentralized vision-based framework for autonomous wildlife monitoring with aerial robots.
Recommended citation: M. Chahine*, W. Yang*, A. Maalouf, J. Siriska, N. Jadhav, D. Vogt, S. Gil, R. J. Wood, and D. Rus, “Decentralized Vision-Based Autonomous Aerial Wildlife Monitoring,” International Symposium of Experimental Robotics (ISER), 2025. *Equal contribution.
Published in International Symposium of Experimental Robotics (ISER)
Real-time remote sensing and autonomous planning for robotic rendezvous with whales.
Recommended citation: S. Bhattacharya*, N. Jadhav*, H. Izhar, K. Li, K. George, R. J. Wood, and S. Gil, “Real-time Remote Tracking and Autonomous Planning for Whale Rendezvous using Robots,” International Symposium of Experimental Robotics (ISER), 2025. *Equal contribution.
Published in 18th International Symposium on Distributed Autonomous Robotic Systems (DARS)
A simulation framework for motion-induced WiFi channel-state-information sensing in multi-robot systems.
Recommended citation: B. J. Dijkstra, N. Jadhav, M. F. Stoffijn, S. Gil, and B. Haghighat, “Enabling Motion-Induced WiFi-CSI Sensing in Multi-Robot Systems: A Simulation Framework,” 18th International Symposium on Distributed Autonomous Robotic Systems (DARS), 2026.
Published in IEEE Robotics and Automation Letters (RA-L)
WiSER-X enables efficient decentralized multi-robot exploration under severe communication constraints by using wireless signals without explicit information exchange.
Recommended citation: N. Jadhav, M. Behari, R. J. Wood, and S. Gil, “WiSER-X: Wireless Signals-based Efficient Decentralized Multi-Robot Exploration without Explicit Information Exchange,” IEEE Robotics and Automation Letters (RA-L), 2026. doi: 10.1109/LRA.2026.3711857.
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Workshop presentation on active robot rendezvous using WiFi sensing to improve distributed pose graph optimization.
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Conference presentation of a toolbox for WiFi-based relative bearing estimation on robots.
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Seminar on decentralized exploration using wireless sensing as a form of implicit information exchange.
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Invited talk on wireless sensing systems designed for real-time field deployment on robot teams.
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Invited talk on real-time wireless sensing and its role in multi-robot coordination.
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Invited talk on using communication signals as a sensing modality for multi-robot coordination in real-world deployments.
Teaching Assistant, Arizona State University
Led in-person and online discussion sections, graded assignments, supported student projects, and advised students.
Teaching Assistant, Arizona State University
Led discussion sections, graded assignments, assisted with projects, and advised students studying multi-robot coordination and control.
Teaching Fellow, Harvard University
Research Mentor, Harvard University