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Christos K. Verginis

Researcher at Royal Institute of Technology

Publications -  80
Citations -  794

Christos K. Verginis is an academic researcher from Royal Institute of Technology. The author has contributed to research in topics: Computer science & Workspace. The author has an hindex of 14, co-authored 64 publications receiving 485 citations. Previous affiliations of Christos K. Verginis include University of Texas at Austin & National Technical University of Athens.

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Robust Distributed Control Protocols for Large Vehicular Platoons With Prescribed Transient and Steady-State Performance

TL;DR: In this paper, the longitudinal control problem for a platoon of vehicles with unknown nonlinear dynamics under both the predecessor-following and the bidirectional control architectures is studied, where each vehicle utilizes feedback from its relative position with respect to its preceding and following vehicles as well as its own velocity, which can all be easily acquired by onboard sensors.
Journal ArticleDOI

Robust formation control in SE(3) for tree-graph structures with prescribed transient and steady state performance

TL;DR: This paper presents a novel control protocol for distance and orientation formation control of rigid bodies, whose communication graph is a static and undirected tree, in the special Euclidean group SE(3).
Proceedings ArticleDOI

Cooperative manipulation exploiting only implicit communication

TL;DR: This paper considers a decentralized leader-follower architecture where the leading robot tries to achieve the desired tracking behavior via an impedance control law, and the follower estimates the leader's desired motion via a novel prescribed performance estimation law.
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Robust Distributed Control Protocols for Large Vehicular Platoons with Prescribed Transient and Steady State Performance

TL;DR: In this article, the longitudinal control problem for a platoon of vehicles with unknown nonlinear dynamics under both the predecessor-following and the bidirectional control architectures is studied, where each vehicle utilizes feedback from its relative position with respect to its preceding and following vehicles as well as its own velocity, which can be easily obtained by onboard sensors.
Journal ArticleDOI

Robust Cooperative Manipulation Without Force/Torque Measurements: Control Design and Experiments

TL;DR: In this article, two control methodologies for the cooperative manipulation of an object by $N$ robotic agents are presented, one of which employs quaternion feedback for the object orientation to avoid potential representation singularities.