activity
20242026
collaborators

7 papers

eess.SY2026

Real-Time Nonlinear MPC via Sequential Quadratic Programming with Structure-Exploiting ADMM and Interior-Point Methods for Underactuated Double-Pendulum Swing-Up

Nick Karydakis, Konstantinos Chatzilygeroudis

The 4th "AI Olympics with RealAIGym" competition, to be held at IJCAI-ECAI 2026 in Bremen, challenges participants to develop a global control policy for swinging up and stabilizin…

cs.NE2026

Hybrid Augmented Lagrangian Method for General Constrained Optimization via Evolutionary Algorithms

Lampros Printzios, Konstantinos Chatzilygeroudis

Constrained Optimization Problems are crucial in fields such as engineering, economics, and robotics, where high-dimensional search spaces and complex objectives and constraints ar…

cs.RO2025

PGTT: Phase-Guided Terrain Traversal for Perceptive Legged Locomotion

Alexandros Ntagkas, Chairi Kiourt, Konstantinos Chatzilygeroudis

State-of-the-art perceptive Reinforcement Learning controllers for legged robots typically either (i) impose oscillator-or IK-based gait priors that constrain the action space, bia…

cs.RO2025

Learning and Optimization with 3D Orientations

Alexandros Ntagkas, Constantinos Tsakonas, Chairi Kiourt +1

There exist numerous ways of representing 3D orientations. Each representation has both limitations and unique features. Choosing the best representation for one task is often a di…

cs.RO2025

A Comparative Study of Floating-Base Space Parameterizations for Agile Whole-Body Motion Planning

Evangelos Tsiatsianas, Chairi Kiourt, Konstantinos Chatzilygeroudis

Automatically generating agile whole-body motions for legged and humanoid robots remains a fundamental challenge in robotics. While numerous trajectory optimization approaches have…

cs.NE2025

Vector Quantized-Elites: Unsupervised and Problem-Agnostic Quality-Diversity Optimization

Constantinos Tsakonas, Konstantinos Chatzilygeroudis

Quality-Diversity algorithms have transformed optimization by prioritizing the discovery of diverse, high-performing solutions over a single optimal result. However, traditional Qu…