Journals

[1] P. De Petris, M. Nissov, and K. Alexis, “Morphy: a Compliant and Morphologically-Aware Flying Robot”, Advanced Intelligent Systems, Video: https://youtu.be/C6l7Vklbc9k

[2] Bryan Convens, Dominic Liao-McPherson, Kelly Merckaert, Bram Vanderborght and Marco M. Nicotra, “A Terminal State Feasibility Governor for Real-Time Nonlinear Model Predictive Control Over Arbitrary Horizons”, IEEE Transactions on Control Systems Technology (TCST), 2024, 10.1109/TCST.2024.3365996. Video: https://youtu.be/2LSYNwuYpzI

[3] M. Nissov, K. Alexis, “On the Characterization and Limits of 4D Radar for Aided Inertial Navigation”, IEEE Transactions on Field Robotics, 2026

[4] W Rehberg, M Kulkarni, P Weiss, K Alexis, “Efficient Knowledge Transfer for Jump-Starting Control Policy Learning of Multirotors through Physics-Aware Neural Architectures”, IEEE Robotics and Automation Letters, 2026

[5] M. Jacquet, M. Harms, K. Alexis, “Neural NMPC through signed distance field encoding for collision avoidance”, The International Journal of Robotics Research (IJRR), 2025

[6] A. Zacharia, M.Dharmadhikari, K. Alexis, “Collaborative Exploration With a Marsupial Ground-Aerial Robot Team Through Task-Driven Map Compression”, IEEE Robotics and Automation Letters, 2025

[7] Hang Yu, Christophe De Wagter, Guido de Croon, “MAVRL: Learn to Fly in Cluttered Environments With Varying Speed”, IEEE Robotics and Automation Letters, 10.1109/LRA.2024.3522778

[8] Rui Wu, Luca Girardi, Stefano Mintchev, “Encoding mechanical intelligence using ultraprogrammable joints”, Science Advances, 2025, https://doi.org/https://doi.org/10.3929/ethz-b-000727478, 10.1126/sciadv.adv2052

[9] Van Huyen Dang; Adrian Redder; Huy Xuan Pham; Andriy Sarabakha; Erdal Kayacan, “VDS-Nav: Volumetric Depth-Based Safe Navigation for Aerial Robots–Bridging the Sim-to-Real Gap”, IEEE Robotics and Automation Letters, 2025, 10.1109/LRA.2025.3606806

[10] Hang Yu, Christophe De Wagter, Guido de Croon, “Depth Transfer: Learning to See Like a Simulator for Real-World Drone Navigation”, IEEE Robotics and Automation Letters, 10.1109/LRA.2025.3617729

Conferences

[1] R. Wu and S. Mintchev, “Vine Robots that Evert through Bending”, 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems

[2] Calzolari G, Sumathy V, Kanellakis C, Nikolakopoulos G. D-MARL: A Dynamic Communication-Based Action Space Enhancement for Multi Agent Reinforcement Learning Exploration of Large Scale Unknown Environments. Accepted for presentation in 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), to be held in Abu Dhabi, October 2024.

[3] Calzolari G, Sumathy V, Kanellakis C, Nikolakopoulos G. Decentralized Multi-Agent Reinforcement Learning Exploration with Inter-Agent Communication-Based Action Space. Accepted for presentation in 24th International Conference on Control, Automation and Systems (ICCAS), to be held in South Korea, October 2024.

[4] M. A. V. Saucedo, A. Patel, A. Saradagi, C. Kanellakis and G. Nikolakopoulos, "Belief Scene Graphs: Expanding Partial Scenes with Objects through Computation of Expectation," 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024, pp. 9441-9447, doi: 10.1109/ICRA57147.2024.10611352.

[5] M. A. V. Saucedo, N. Stathoulopoulos, A. Patel, C. Kanellakis and G. Nikolakopoulos,, "Leveraging Computation of Expectation Models for Commonsense Affordance Estimation on 3D Scene Graphs," Accepted for presentation in 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), to be held in Abu Dhabi, October 2024. ArXiv preprint arXiv:2409.05392 (2024).

[6] V. H. Dang, A. Redder and E. Kayacan. “A Novel Efficient Reinforcement Learning Simulation Benchmark for End-to-End Vision-Only Unmanned Aerial Vehicle Navigation”, 40th Anniversary of the IEEE Conference on Robotics and Automation (ICRA@40)

[7] M. Nissov, M. Singh, K. Alexis, “Tightly-Coupled Radar-Visual-Inertial Odometry”, European Control Conference, 2026

[8] M. Kulkarni, M. Dharmadhikari, N. Khedekar, M. Nissov, M. Singh, P. Weiss, K. Alexis, “UniPilot: Enabling GPS-Denied Autonomy Across Embodiments”, IEEE International Conference on Advanced Robotics (ICAR), 2025

[9] G. Malczyk, M. Kulkarni, K. Alexis, “Reinforcement Leaning for Active Perception in Autonomous Navigation”, IEEE International Conference on Robotics and Automation (ICRA), 2026

[10] Jed Muff, Keiichi Ito, Karine Miras, A. E. Eiben, “Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights”, Evostar 2026

[11] Keiichi Ito, Jed Muff, A. E. Eiben, “Reinforcement Learning for Drone Control: Lessons from Hyperparameter Optimization”, 2026 IEEE World Congress on Computational Intelligence IEEE

[12] Jed Muff, Keiichi Ito, Karine Miras, A. E. Eiben, “Limits of Lamarckian Evolution Under Pressure of Morphological Novelty”, 2026 IEEE World Congress on Computational Intelligence IEEE

[13] Mohammad Javad Zallaghi, Bryan Convens, Kelly Merckaert, Adrian Munteanu, Bram Vanderborght, “Learning UAV Navigation with Collision-Aware Predicted-Motion Embedding”, 45th Benelux Meeting on Systems and Control

[14] Fausto Lagos, Akshit Saradagi, Vidya Sumathy, Shruti Kotpalliwar, George Nikolakopoulos, “Curriculum-based Sample Efficient Reinforcement Learning for Robust Stabilization of a Quadrotor”, 24th European Control Conference (ECC), 24th European Control Conference (ECC)

[15] Fausto Lagos, Akshit Saradagi, Vidya Sumathy, George Nikolakopoulos, “A Heuristic Approach for Performance Tuning in RL-based Quadrotor Control via Reward Design and Termination Conditions”, 34th Mediterranean Conference on Control and Automation (MED26), https://doi.org/10.48550/arXiv.2605.191

[16] Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos, “A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration”, 24th European Control Conference, https://doi.org/10.48550/arXiv.2504.11907

[17] Hürkan Şahin, Huy Xuan Pham, Van Huyen Dang, Alper Yegenoglu, Erdal Kayacan, “Thermal Image Refinement with Depth Estimation using Recurrent Networks for Monocular ORB-SLAM3” , IEEE International Conference on Robotics & Automation

Workshop Papers:

[1] V. H. Dang, E. Kayacan, A. Redder. “MAC: Morphology-Aware Control Design with Deep Reinforcement Learning for Navigation of Squeezable Unmanned Aerial Vehicles”. Morphology-Aware Policy and Design Learning Workshop (MAPoDeL) at CoRL 2024.

[2] Van Huyen Dang, Kabilesh Rajendran, Erdi Sayar, Erdal Kayacan, “Exp2VLA: Enabling Vision–Language–Action for Drone Navigation from Expert Demonstrations”, ICRA-AIM workshop, 2026

[13] Hürkan Şahin, Van Huyen Dang, Erdal Kayacan, “Thermal-to-Depth Driven Safe Navigation for UAVs in Degraded Environments”, ICRA-AIM workshop, 2026

Books

[1] A.E. Eiben, Karine Miras, Emma Hart, “Robot Evolution: from Evolutionary Robotics to Physical AI”, Natural Computing Series, Springer, 2026