Journals

  1. L. Niu and G. Notomista, “Decentralized Density Control of Robotic Swarms Using PDE-constrained Optimization”, IEEE Robotics and Automation Letters, 2025 (to appear)
  2. G. Notomista, P. T. Choi, and M. Saveriano, “Reactive Robot Navigation Using Quasi-conformal Mappings and Control Barrier Functions”, IEEE Transactions on Control Systems Technology, 2025 (to appear)
  3. Y. Emam, G. Notomista, P. Glotfelter, Z. Kira, and M. Egerstedt, “Safe Reinforcement Learning Using Robust Control Barrier Functions”, IEEE Robotics and Automation Letters, Vol. 10, No. 3, pp. 2886-2893, 2025
  4. Z. Hao, S. Mayya, G. Notomista, S. Hutchinson, M. Egerstedt, and A. Ansari, “Controlling Collision-Induced Aggregations in a Swarm of Micro Bristle-Robots”, IEEE Transactions on Robotics, Vol. 39, No. 1, pp. 590-604, 2022
  5. Y. Emam, P. Glotfelter, S. Wilson, G. Notomista, and M. Egerstedt, “Data-Driven Robust Barrier Functions for Safe, Long-Term Operation”, IEEE Transactions on Robotics, Vol. 38, No. 3, pp. 1671-1685, 2022
  6. G. Notomista, C. Pacchierotti, and P. Robuffo Giordano, “Online Robot Trajectory Optimization for Persistent Environmental Monitoring”, IEEE Control Systems Letters, Vol. 6, pp. 1472-1477, 2022
  7. G. Notomista, S. Mayya, Y. Emam, C. Kroninger, A. Bohannon, S. Hutchinson, and M. Egerstedt, “A Resilient and Energy-Aware Task Allocation Framework for Heterogeneous Multi-Robot Systems”, IEEE Transactions on Robotics, Vol. 38, No. 1, pp. 159-179, 2022
  8. G. Notomista and M. Saveriano, “Safety of Dynamical Systems with Multiple Non-Convex UnsafeSets Using Control Barrier Functions”, IEEE Control Systems Letters, Vol. 6, pp. 1136-1141, 2022
  9. S. Wilson, P. Glotfelter, S. Mayya, G. Notomista, Y. Emam, X. Cai, and M. Egerstedt, “The Robotarium: Automation of a Remotely Accessible, Multi-Robot Testbed”, IEEE Robotics and Automation Letters, Vol. 6, No. 2, pp. 2922-2929, 2021
  10. M. Ohnishi, G. Notomista, M. Sugiyama, and M. Egerstedt, “Constraint learning for control tasks with limited duration barrier functions”, Automatica, Vol. 127, 2021
  11. G. Notomista and M. Egerstedt, “Persistification of robotic tasks”, IEEE Transactions on Control Systems Technology, Vol. 29, No. 2, pp. 756-767, 2021
  12. M. Santos, G. Notomista, S. Mayya, and M. Egerstedt, “Interactive Multi-Robot Painting Through Colored Motion Trails”, Frontiers in Robotics and AI, 7, 143, 2020
  13. A. Ames, G. Notomista, Y. Wardi, and M. Egerstedt, “Integral Control Barrier Functions for Dynamically Defined Control Laws”, IEEE Control Systems Letters, Vol. 5, No. 3, pp. 887-892, 2020
  14. R. Funada, X. Cai, G. Notomista, M. W. Surya Atman, J. Yamauchi, M. Fujita, and M. Egerstedt, “Coordination of robot teams over long distances. From Georgia Tech to Tokyo Tech and back: An 11,000 km multi-robot experiment”, IEEE Control Systems Magazine, Vol. 40, No. 4, pp. 53-79, 2020
  15. S. Wilson, P. Glotfelter, L. Wang, S. Mayya, G. Notomista, M. Mote, and M. Egerstedt, “The Robotarium: Globally impactful opportunities, challenges, and lessons learned in remote-access, distributed control of multi-robot systems”, IEEE Control Systems Magazine, Vol. 40, No. 1, pp. 26-44, 2020
  16. M. Ohnishi, L. Wang, G. Notomista, and M. Egerstedt, “Safety-aware adaptive reinforcement learning with applications to brushbot navigation”, IEEE Transactions on Robotics, Vol. 35, No. 5, pp. 1186-1205, 2019
  17. G. Notomista, Y. Emam, and M. Egerstedt, “The SlothBot: A novel design for a wire-traversing robot”, IEEE Robotics and Automation Letters, Vol. 4, No. 2, pp. 1993-1998, 2019
  18. M. Egerstedt, J. Pauli, G. Notomista, and S. Hutchinson, “Robot ecology: Constraint-based control design for long duration autonomy”, Annual Reviews in Control, Vol. 46, pp. 1-7, 2018
  19. G. Notomista, S. Ruf, and M. Egerstedt, “Persistification of robotic tasks using control barrier functions”, IEEE Robotics and Automation Letters, Vol. 3, No. 2, pp. 758-763, 2018
  20. G. Notomista and M. Botsch, “A machine learning approach for the segmentation of driving maneuvers and its application in autonomous parking”, Journal of Artificial Intelligence and Soft Computing Research, Vol. 7, No. 4, pp. 243-255, 2017
  21. G. Notomista, M. Selvaggio, F. Sbrizzi, G. Di Maio, S. Grazioso, and M. Botsch, “A fast airplane boarding strategy using online seat assignment based on passenger classification”, Journal of Air Transport Management, Vol. 53, pp. 140-149, 2016

Book chapters

  1. G. Notomista and X. Cai, “A safety and passivity filter for robot teleoperation systems”. In M. Saveriano, E. Renaudo, A. Rodrı́guez-Sánchez, and J. Piater (editors), Human-Friendly Robotics 2020, Cham, 2021. Springer International Publishing

Conference proceedings

  1. S. A. Tahmid and and G. Notomista, “Value Iteration for Learning Concurrently Executable Robotic Control Tasks”, International Conference on Autonomous Agents and Multi-Agent Systems, 2025
  2. J. Shaw and G. Notomista, “Design and Density Control of a Swarm of Bimodal Particles”, International Symposium on Distributed Autonomous Robotic Systems, 2024
  3. G. Notomista, “Stable, Safe, and Passive Teleoperation of Multi-Robot Systems”, IEEE International Conference on Robotics and Automation, 2024
  4. G. Notomista and Y. Wardi, “A Safe and Computationally Efficient Tracking Control Algorithm for Autonomous Vehicles”, American Control Conference, 2024
  5. G. Notomista, “Relaxed Pfaffian Constraints with Application to the Minimum-Energy Control of Swarms of Brushbots”, American Control Conference, 2023
  6. G. Notomista, “A Constrained-Optimization Approach to the Execution of Prioritized Stacks of Learned Multi-Robot Tasks”, International Symposium on Distributed Autonomous Robotic Systems, 2022
  7. G. Notomista and S. Mayya, “What Can Robots Teach Us About The COVID-19 Pandemic? Interactive Demonstrations of Epidemiological Models Using a Swarm of Brushbots”, IEEE International Conference on Advanced Robotics and its Social Impacts, 2022
  8. G. Notomista, “Resilience and Energy-Awareness in Constraint-Driven-Controlled Multi-Robot Systems”, American Control Conference, 2022
  9. G. Notomista, C. Pacchierotti, and P. Robuffo Giordano, “Multi-Robot Persistent Environmental Monitoring Based on Constraint-Driven Execution of Learned Robot Tasks”, IEEE International Conference on Robotics and Automation, 2022
  10. G. Notomista and M. Saveriano, “On the Safety of Dynamical Systems with Multiple Non-Convex Unsafe Sets”, Human-Friendly Robotics, 2021
  11. Y. Emam, G. Notomista, P. Glotfelter, and M. Egerstedt, “Data-Driven Adaptive Task Allocation for Heterogeneous Multi-Robot Teams Using Robust Control Barrier Functions”, IEEE International Conference on Robotics and Automation, 2021
  12. G. Notomista and M. Egerstedt, “Communication constrained distributed spatial field estimation using mobile sensor networks”, IFAC World Congress, 2020
  13. G. Notomista, M. Wang, M. Schwager, and M. Egerstedt, “Enhancing game-theoretic autonomous car racing using control barrier functions”, IEEE International Conference on Robotics and Automation, 2020
  14. G. Notomista, S. Mayya, M. Selvaggio, M. Santos, and C. Secchi, “A set-theoretic approach to multi-task execution and prioritization”, IEEE International Conference on Robotics and Automation, 2020
  15. Y. Emam, S. Mayya, G. Notomista, A. Bohannon, and M. Egerstedt, “Adaptive task allocation for heterogeneous multi-robot teams with evolving and unknown robot capabilities”, IEEE International Conference on Robotics and Automation, 2020
  16. G. Notomista, S. Mayya, A. Mazumdar, S. Hutchinson, and M. Egerstedt, “A study of a class of vibration-driven robots: Modeling, analysis, control and design of the brushbot”, IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
  17. S. Mayya, G. Notomista, D. Shell, S. Hutchinson, and M. Egerstedt, “Non-uniform robot densities in vibration driven swarms using phase separation theory”, IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
  18. G. Notomista, X. Cai, J. Yamauchi, and M. Egerstedt, “Passivity-based decentralized control of multi-robot systems with delays using control barrier functions”, IEEE International Symposium on Multi-Robot and Multi-Agent Systems, 2019
  19. M. Santos, S. Mayya, G. Notomista, and M. Egerstedt, “Decentralized minimum-energy coverage control for time-varying density functions”, IEEE International Symposium on Multi-Robot and Multi-Agent Systems, 2019
  20. G. Notomista, S. Mayya, S. Hutchinson, and M. Egerstedt, “An optimal task allocation strategy for heterogeneous multi-robot systems”, European Control Conference, 2019
  21. A. Ames, S. Coogan, M. Egerstedt, G. Notomista, K. Sreenath, and P. Tabuada, “Control barrier functions: Theory and applications”, European Control Conference, 2019
  22. G. Notomista and M. Egerstedt, “Constraint-driven coordinated control of multi-robot systems”, American Control Conference, 2019
  23. G. Notomista, M. Santos, S. Hutchinson, and M. Egerstedt, “Sensor coverage control using robots constrained to a curve”, IEEE International Conference on Robotics and Automation, 2019
  24. G. Notomista and M. Egerstedt, “Coverage control for wire-traversing robots”, IEEE International Conference on Robotics and Automation, 2018
  25. M. Selvaggio, S. Grazioso, G. Notomista, and F. Chen, “Towards a self-collision aware teleoperation framework for compound robots”, IEEE World Haptics Conference, 2017
  26. F. Sbrizzi, S. Grazioso, M. Selvaggio, G. Di Maio, and G. Notomista, “Enhancing airplane boarding procedure using vision based passenger classification”, IEEE International Conference on Intelligent Transportation Systems, 2016
  27. M. Selvaggio, G. Notomista, F. Chen, B. Gao, F. Trapani, and D. Caldwell, “Enhancing bilateral teleoperation using camera-based online virtual fixtures generation”, IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
  28. M. Selvaggio, F. Chen, B. Gao, G. Notomista, F. Trapani, and D. Caldwell, “Vision based virtual fixture generation for teleoperated robotic manipulation”, IEEE International Conference on Advanced Robotics and Mechatronics, 2016
  29. G. Notomista, A. Kammenhuber, P. Nadarajan, M. Botsch, and M. Selvaggio, “Relative motion estimation based on sensor eigenfusion using a stereoscopic vision system and adaptive statistical filtering”, VDE International Symposium on Robotics, 2016
  30. G. Notomista and M. Botsch, “Maneuver segmentation for autonomous parking based on ensemble learning”, IEEE International Joint Conference on Neural Networks, 2015

Conference workshops

  1. G. Notomista, S. Mayya, Y. Emam, C. Kroninger, A. Bohannon, S. Hutchinson, and M. Egerstedt, “A Resilient and Energy-Aware Task Allocation Framework for Heterogeneous Multi-Robot Systems”, Workshop “Heterogeneous Multi-Robot Task Allocation and Coordination” at Robotics: Science and Systems, 2020
  2. S. Mayya, G. Notomista, and M. Egerstedt, “Optimal task allocation in heterogeneous multi-robot systems using a mixed centralized/decentralized strategy”, Workshop “Resilient Robot Teams: Composing, Acting, and Learning” at IEEE International Conference on Robotics and Automation, 2019
  3. M. Selvaggio and G. Notomista, “Towards natural human-swarm teleoperation using hand synergies”, Workshop “Swarms: From Biology to Robotics and Back” at IEEE International Conference on Robotics and Automation, 2018

Theses

  1. G. Notomista, "Long-duration robot autonomy: From control algorithms to robot design”, Ph.D. thesis, Georgia Institute of Technology, August 2020
  2. G. Notomista, "Validation of model-based criticality estimates in vehicle safety using a multi camera reference system”, M.S. thesis, Università degli Studi di Napoli Federico II, January 2016
  3. G. Notomista, "Parking maneuver planning based on machine learning”, M.Eng. thesis, Technische Hochschule Ingolstadt, March 2015
  4. G. Notomista, "Polar decomposition of the deformation gradient”, B.S. thesis, Università degli Studi di Napoli Federico II, September 2012