Publications

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

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).

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.

Open-source

[1] Aerial Gym Simulator, Repository: https://github.com/ntnu-arl/aerial_gym_simulator