Publications

Submitted

Luca Ballotta, Áron Vékássy, Stephanie Gil, and Michal Yemini. Submitted. “Confidence Boosts Trust‑Based Resilience in Cooperative Multi‑Robot Systems“.

Arif Kerem Dayı, Orhan Eren Akgün, Stephanie Gil, Michal Yemini, and Angelia Nedić. Submitted. “Fast Distributed Optimization over Directed Graphs under Malicious Attacks using Trust“.

Matthew Cavorsi, Beatrice Capelli, Lorenzo Sabattini, and Stephanie Gil. Submitted. ” Multi‑Robot Adversarial Resilience using Control Barrier Functions“.

2025

Orhan Eren Akgün, Thomas Kaminsky, Áron Vékássy, Angelia Nedić, and Stephanie Gil. Sep. 2025. “Strategic Attacks on Finite-Time Consensus.” In European Signal Processing Conference, Pp. 1055–1060.

Sushmita Bhattacharya*, Ninad Jadhav*, Hammad Izhar, Karen Li, Kevin George, Robert J. Wood, and Stephanie Gil. Sep. 2025. “Real‑time Remote Tracking and Autonomous Planning for Whale Rendezvous using Robots.” In International Symposium on Experimental Robotics (ISER), Santa Fe.

Orhan Eren Akgün, Áron Vékássy, Luca Ballotta, Michal Yemini, and Stephanie Gil. 2025. “Friedkin‑Johnsen Model is Distributed Gradient Descent. ” IEEE Control Systems Letters, 9, Pp. 1544–1549.

2024

Ninad Jadhav*, Sushmita Bhattacharya*, Daniel Vogt, Yaniv Aluma, Pernille Tonessen, Akarsh Prabhakara, Swarun Kumar, Shane Gero, Robert J. Wood, and Stephanie Gil. 30 Oct 2024. “Reinforcement learning-based framework for whale rendezvous via autonomous sensing robots“. Science Robotics, 9(95), Article eadn7299. [oai_citation:0‡Aarhus University](https://pure.au.dk/portal/en/publications/reinforcement-learning-based-framework-for-whale-rendezvous-via-a/?utm_source=chatgpt.com)

Cristina Gava, Áron Vékássy, Matthew Cavorsi, Stephanie Gil, and Frederik Mallmann-Trenn. Jul 2024. “Community Consensus: Converging Locally Despite Adversaries and Heterogeneous Connectivity“. In *2024 American Control Conference (ACC)*, pp. 4141–4148. Toronto. *(Official DOI pending)*

Daniel Garces and Stephanie Gil. May 2024. “Surge Routing: Event‑informed Multiagent Reinforcement Learning for Autonomous Rideshare“. In *AAMAS ’24: International Conference on Autonomous Agents and Multiagent Systems*, pp. 641–650. New Zealand: International Foundation for Autonomous Agents and Multiagent Systems. *(No DOI found)*

Luca Ballotta, Áron Vékássy, Stephanie Gil, and Michal Yemini. 2024. “Friedkin‑Johnsen Model With Diminishing Competition“. IEEE Control Systems Letters, 8, pp. 2679–2684. [oai_citation:1‡Delft University of Technology Research](https://research.tudelft.nl/en/publications/friedkin-johnsen-model-with-diminishing-competition?utm_source=chatgpt.com)

Sushmita Bhattacharya, Siva Kailas, Sahil Badyal, Stephanie Gil, and Dimitri Bertsekas. 2024. “Multiagent Reinforcement Learning: Rollout and Policy Iteration for POMDP With Application to Multirobot Problems“. IEEE Transactions on Robotics, 40, pp. 2003–2023. [oai_citation:2‡experts.azregents.edu](https://experts.azregents.edu/en/publications/multiagent-reinforcement-learning-rollout-and-policy-iteration-fo?utm_source=chatgpt.com)

Orhan Eren Akgün, Arif Kerem Dayı, Stephanie Gil, and Angelia Nedić. 2024. “Projected Push‑Pull for Distributed Constrained Optimization Over Time‑Varying Directed Graphs“. In *American Control Conference (ACC)*. *(Official DOI pending)*

Daniel Garces, Sushmita Bhattacharya, Dimitri P. Bertsekas, and Stephanie Gil. 2024. “Approximate Multiagent Reinforcement Learning for On‑Demand Urban Mobility Problem on a Large Map“. In *International Conference on Robotics and Automation (ICRA) 2024*. IEEE. *(Official DOI pending)*

Matthew Cavorsi, Orhan Eren Akgün, Michal Yemini, Andrea J. Goldsmith, and Stephanie Gil. 2024. “Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots“. IEEE Transactions on Robotics, 40, pp. 3514–3536. *(DOI should be on IEEE Xplore, pending)*

2023

Weiying Wang, Anne Kemmeren, Daniel Son, Javier Alonso‑Mora, and Stephanie Gil. 2023. “Wi‑Closure: Reliable and Efficient Search of Inter‑robot Loop Closures Using Wireless Sensing“. In IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom. [oai_citation:0‡Delft University of Technology Research](https://research.tudelft.nl/en/publications/wi-closure-reliable-and-efficient-search-of-inter-robot-loop-clos?utm_source=chatgpt.com)

Mathew Cavorsi, Frederik Mallmann‑Trenn, David Saldana, and Stephanie Gil. 2023. “Dynamic Crowd Vetting: Collaborative Detection of Malicious Robots in Dynamic Communication Networks”. In 2023 IEEE Conference on Decisions and Control (CDC). *(Preprint available: https://arxiv.org/abs/2304.00551)* [oai_citation:1‡arXiv](https://arxiv.org/abs/2304.00551?utm_source=chatgpt.com)

Matthew Cavorsi, Orhan Eren Akgün, Michal Yemini, Andrea J. Goldsmith, and Stephanie Gil. 2023. “Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots Adversarial Hypothesis Testing”. In 2023 IEEE International Conference on Robotics and Automation (ICRA), London, UK. *(DOI pending/official link when available)* [oai_citation:2‡DBLP](https://dblp.org/pid/262/3932?utm_source=chatgpt.com)

Orhan Eren Akgün, Arif Kerem Dayı, Stephanie Gil, and Angelia Nedić. 2023. “Learning Trust Over Directed Graphs in Multiagent Systems”. In 5th Annual Conference on Learning for Dynamics and Control, 211: pp. 1–13. *(Official DOI pending)*

Daniel Garces, Sushmita Bhattacharya, Stephanie Gil, and Dimitri Bertsekas. 2023. “Multiagent Reinforcement Learning for Autonomous Routing and Pickup Problem with Adaptation to Variable Demand”. In International Conference on Robotics and Automation (ICRA), Philadelphia, PA. *(Official DOI or proceedings link pending)*

2022

Ninad Jadhav*, Weiying Wang*, Diana Zhang, Oussama Khatib, Swarun Kumar, and Stephanie Gil. 9/26/2022. “A wireless signal-based sensing framework for robotics.” International Journal of Robotics Research, 2022, Volume 41, Issue 11-12, Pp. 955–992.