Publications de Konstantinos Chatzilygeroudis

Self-Correcting Quadratic Programming-Based Robot Control

Aude Billard, Konstantinos Chatzilygeroudis, Farshad Khadivar

Quadratic Programming (QP)-based controllers allow many robotic systems, such as humanoids, to successfully undertake complex motions and interactions. However, these approaches rely heavily on adequately capturing the underlying model of the environment a ...

2023

From human action understanding to robot action execution: how the physical properties of handled objects modulate non-verbal cues

Aude Billard, José Santos-Victor, Konstantinos Chatzilygeroudis, Nuno Ricardo Ferreira Duarte

Humans manage to communicate action intentions in a non-verbal way, through body posture and movement. We start from this observation to investigate how a robot can decode a human's non-verbal cues during the manipulation of an object, with specific physic ...

IEEE2020

Benchmark for Human-to-Robot Handovers of Unseen Containers with Unknown Filling

Pascal Frossard, Aude Billard, Andrea Cavallaro, Konstantinos Chatzilygeroudis, Nuno Ricardo Ferreira Duarte, Apostolos Modas

The real-time estimation through vision of the physical properties of objects manipulated by humans is important to inform the control of robots for performing accurate and safe grasps of objects handed over by humans. However, estimating the 3D pose and d ...

2020

Benchmark for Bimanual Robotic Manipulation of Semi-deformable Objects

Aude Billard, Konstantinos Chatzilygeroudis, Ilaria Lauzana, Kunpeng Yao, Bernardo Fichera, Farshad Khadivar, Fanjun Bu

We propose a new benchmarking protocol to evaluate algorithms for bimanual robotic manipulation semi-deformable objects. The benchmark is inspired from two real-world applications: (a) watchmaking craftsmanship, and (b) belt assembly in automobile engines. ...

2020

On Force Synergies in Human Grasping Behavior

Aude Billard, Konstantinos Chatzilygeroudis

The human hand is a versatile and complex system with dexterous manipulation capabilities. For the transfer of human grasping capabilities to humanoid robotic and prosthetic hands, an understanding of the dynamic characteristics of grasp motions is fundame ...

IEEE2019