Human Robot Collaboration for Folding Fabrics Based on Force/RGB-D Feedback. - Panagiotis N. Koustoumpardis; Konstantinos I. Chatzilygeroudis; Aris I. Synodinos; Nikos A. Aspragathos (RAAD, 2015)

Towards semi-episodic learning for robot damage recovery. - Konstantinos I. Chatzilygeroudis; Antoine Cully; Jean-Baptiste Mouret (CoRR, 2016)

Reset-free Trial-and-Error Learning for Data-Efficient Robot Damage Recovery. - Konstantinos I. Chatzilygeroudis; Vassilis Vassiliades; Jean-Baptiste Mouret (CoRR, 2016)

Limbo: A Fast and Flexible Library for Bayesian Optimization. - Antoine Cully; Konstantinos I. Chatzilygeroudis; Federico Allocati; Jean-Baptiste Mouret (CoRR, 2016)

Safety-Aware Robot Damage Recovery Using Constrained Bayesian Optimization and Simulated Priors. - Vaios Papaspyros; Konstantinos I. Chatzilygeroudis; Vassilis Vassiliades; Jean-Baptiste Mouret (CoRR, 2016)

Scaling Up MAP-Elites Using Centroidal Voronoi Tessellations. - Vassilis Vassiliades; Konstantinos I. Chatzilygeroudis; Jean-Baptiste Mouret (CoRR, 2016)

20 years of reality gap: a few thoughts about simulators in evolutionary robotics. - Jean-Baptiste Mouret; Konstantinos I. Chatzilygeroudis (GECCO (Companion), 2017)

Comparing multimodal optimization and illumination. - Vassilis Vassiliades; Konstantinos I. Chatzilygeroudis; Jean-Baptiste Mouret (GECCO (Companion), 2017)

A comparison of illumination algorithms in unbounded spaces. - Vassilis Vassiliades; Konstantinos I. Chatzilygeroudis; Jean-Baptiste Mouret (GECCO (Companion), 2017)

Black-box data-efficient policy search for robotics. - Konstantinos I. Chatzilygeroudis; Roberto Rama; Rituraj Kaushik; Dorian Goepp; Vassilis Vassiliades; Jean-Baptiste Mouret (IROS, 2017)

Alternating Optimisation and Quadrature for Robust Control. - Supratik Paul; Konstantinos I. Chatzilygeroudis; Kamil Ciosek; Jean-Baptiste Mouret; Michael A. Osborne; Shimon Whiteson (AAAI, 2018)

Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards. - Rituraj Kaushik; Konstantinos I. Chatzilygeroudis; Jean-Baptiste Mouret (CoRL, 2018)

Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics. - Konstantinos I. Chatzilygeroudis; Jean-Baptiste Mouret (ICRA, 2018)

Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search. - Rémi Pautrat; Konstantinos I. Chatzilygeroudis; Jean-Baptiste Mouret (ICRA, 2018)

Limbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient Optimization. - Antoine Cully; Konstantinos I. Chatzilygeroudis; Federico Allocati; Jean-Baptiste Mouret (J. Open Source Softw., 2018)

Reset-free Trial-and-Error Learning for Robot Damage Recovery. - Konstantinos I. Chatzilygeroudis; Vassilis Vassiliades; Jean-Baptiste Mouret (Robotics Auton. Syst., 2018)

Using Centroidal Voronoi Tessellations to Scale Up the Multidimensional Archive of Phenotypic Elites Algorithm. - Vassilis Vassiliades; Konstantinos I. Chatzilygeroudis; Jean-Baptiste Mouret (IEEE Trans. Evol. Comput., 2018)

Micro-Data Reinforcement Learning for Adaptive Robots. (Apprentissage micro-data pour l'adaptation en robotique). - Konstantinos I. Chatzilygeroudis (2018)

On Force Synergies in Human Grasping Behavior. - Julia Starke; Konstantinos I. Chatzilygeroudis; Aude Billard; Tamim Asfour (Humanoids, 2019)

From human action understanding to robot action execution: how the physical properties of handled objects modulate non-verbal cues. - Nuno Ferreira Duarte; Konstantinos I. Chatzilygeroudis; José Santos-Victor; Aude Billard (ICDL-EPIROB, 2020)

Quality-Diversity Optimization: a novel branch of stochastic optimization. - Konstantinos I. Chatzilygeroudis; Antoine Cully; Vassilis Vassiliades; Jean-Baptiste Mouret (CoRR, 2020)

Robust Reinforcement Learning with Bayesian Optimisation and Quadrature. - Supratik Paul; Konstantinos I. Chatzilygeroudis; Kamil Ciosek; Jean-Baptiste Mouret; Michael A. Osborne; Shimon Whiteson (J. Mach. Learn. Res., 2020)

Benchmark for Bimanual Robotic Manipulation of Semi-Deformable Objects. - Konstantinos I. Chatzilygeroudis; Bernardo Fichera; Ilaria Lauzana; Fanjun Bu; Kunpeng Yao; Farshad Khadivar; Aude Billard (IEEE Robotics Autom. Lett., 2020)

Benchmark for Human-to-Robot Handovers of Unseen Containers With Unknown Filling. - Ricardo Sanchez-Matilla; Konstantinos I. Chatzilygeroudis; Apostolos Modas; Nuno Ferreira Duarte; Alessio Xompero; Pascal Frossard; Aude Billard; Andrea Cavallaro (IEEE Robotics Autom. Lett., 2020)

A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials. - Konstantinos I. Chatzilygeroudis; Vassilis Vassiliades; Freek Stulp; Sylvain Calinon; Jean-Baptiste Mouret (IEEE Trans. Robotics, 2020)

Machine Learning Basics. - Konstantinos I. Chatzilygeroudis; Ioannis Hatzilygeroudis; Isidoros Perikos (Intelligent Computing for Interactive System Design, 2021)

Learning of Parameters in Behavior Trees for Movement Skills. - Matthias Mayr; Konstantinos I. Chatzilygeroudis; Faseeh Ahmad; Luigi Nardi; Volker Krüger (IROS, 2021)

Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm. - Konstantinos I. Chatzilygeroudis; Aristidis G. Vrahatis; Sotiris K. Tasoulis; Michael N. Vrahatis (LION, 2021)

Learning Skill-based Industrial Robot Tasks with User Priors. - Matthias Mayr; Carl Hvarfner; Konstantinos I. Chatzilygeroudis; Luigi Nardi; Volker Krüger (CASE, 2022)

Hierarchical quality-diversity for online damage recovery. - Maxime Allard; Simón C. Smith; Konstantinos I. Chatzilygeroudis; Antoine Cully (GECCO, 2022)

Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration. - Matthias Mayr; Faseeh Ahmad; Konstantinos I. Chatzilygeroudis; Luigi Nardi; Volker Krüger (ROBIO, 2022)

Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks. - Matthias Mayr; Faseeh Ahmad; Konstantinos I. Chatzilygeroudis; Luigi Nardi; Volker Krüger (CoRR, 2022)

Behavior policy learning: Learning multi-stage tasks via solution sketches and model-based controllers. - Konstantinos Tsinganos; Konstantinos I. Chatzilygeroudis; Denis Hadjivelichkov; Theodoros Komninos; Evangelos Dermatas; Dimitrios Kanoulas (Frontiers Robotics AI, 2022)

Evolving Dynamic Locomotion Policies in Minutes. - Konstantinos I. Chatzilygeroudis; Constantinos G. Tsakonas; Michael N. Vrahatis (IISA, 2023)

Effective Skill Learning via Autonomous Goal Representation Learning. - Constantinos G. Tsakonas; Konstantinos I. Chatzilygeroudis (IISA, 2023)

Fast and Robust Constrained Optimization via Evolutionary and Quadratic Programming. - Konstantinos I. Chatzilygeroudis; Michael N. Vrahatis (LION, 2023)

End-to-End Stable Imitation Learning via Autonomous Neural Dynamic Policies. - Dionis Totsila; Konstantinos I. Chatzilygeroudis; Denis Hadjivelichkov; Valerio Modugno; Ioannis Hatzilygeroudis; Dimitrios Kanoulas (CoRR, 2023)

Self-Correcting Quadratic Programming-Based Robot Control. - Farshad Khadivar; Konstantinos I. Chatzilygeroudis; Aude Billard (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity. - Maxime Allard; Simón C. Smith; Konstantinos I. Chatzilygeroudis; Bryan Lim; Antoine Cully (ACM Trans. Evol. Learn. Optim., 2023)

Gait Optimization for Legged Systems Through Mixed Distribution Cross-Entropy Optimization. - Ioannis Tsikelis; Konstantinos I. Chatzilygeroudis (Humanoids, 2024)

Effective Kinodynamic Planning and Exploration Through Quality Diversity and Trajectory Optimization. - Konstantinos A. Asimakopoulos; Aristeidis A. Androutsopoulos; Michael N. Vrahatis; Konstantinos I. Chatzilygeroudis (LION, 2024)

RobotDART: a versatile robot simulator for robotics and machine learning researchers. - Konstantinos I. Chatzilygeroudis; Dionis Totsila; Jean-Baptiste Mouret (J. Open Source Softw., 2024)

Integrating Trajectory Optimization in Quality-Diversity for Kinodynamic Motion Planning. - Konstantinos A. Asimakopoulos; Konstantinos I. Chatzilygeroudis (ICARA, 2025)

Optimizing doubly stochastic matrices for average consensus through swarm and evolutionary algorithms. - Panos K. Syriopoulos; Konstantinos I. Chatzilygeroudis; Nektarios G. Kalampalikis; Michael N. Vrahatis (Ann. Math. Artif. Intell., 2025)

Sensorimotor Learning With Stability Guarantees via Autonomous Neural Dynamic Policies. - Dionis Totsila; Konstantinos I. Chatzilygeroudis; Valerio Modugno; Denis Hadjivelichkov; Dimitrios Kanoulas (IEEE Robotics Autom. Lett., 2025)

Vector Quantized-Elites: Unsupervised and Problem-Agnostic Quality-Diversity Optimization. - Constantinos G. Tsakonas; Konstantinos I. Chatzilygeroudis (CoRR, 2025)