Konstantinos Chatzilygeroudis

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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 ...

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. ...

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 ...

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 ...

Konstantinos Chatzilygeroudis

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On Force Synergies in Human Grasping Behavior

Benchmark for Bimanual Robotic Manipulation of Semi-deformable Objects

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

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