scispace - formally typeset
E

Elisabetta Cataldi

Researcher at University of Cassino

Publications -  17
Citations -  629

Elisabetta Cataldi is an academic researcher from University of Cassino. The author has contributed to research in topics: Control theory & Adaptive control. The author has an hindex of 12, co-authored 17 publications receiving 451 citations.

Papers
More filters
Proceedings ArticleDOI

6D physical interaction with a fully actuated aerial robot

TL;DR: An extensive experimental campaign shows that the Tilt-Hex is able to outperform the classical underactuated multi-rotors in terms of stability, accuracy and dexterity and represent one of the best choice at date for tasks requiring aerial physical interaction.
Journal ArticleDOI

6D interaction control with aerial robots: The flying end-effector paradigm

TL;DR: A novel paradigm for physical interactive tasks in aerial robotics allowing reliability to be increased and weight and costs to be reduced compared with state-of-the-art approaches is presented.
Journal ArticleDOI

Adaptive Trajectory Tracking for Quadrotor MAVs in Presence of Parameter Uncertainties and External Disturbances

TL;DR: The proposed approach, while maintaining the common assumption of an orientation dynamics faster than the translational one, removes the assumption of absence of external disturbances and of geometric center coincident with the Center of Mass (CoM).
Proceedings ArticleDOI

Impedance Control of an aerial-manipulator: Preliminary results

TL;DR: An impedance control scheme for aerial robotic manipulators is proposed, with the aim of reducing the end-effector interaction forces with the environment.
Journal ArticleDOI

Coordinated Control of Aerial Robotic Manipulators: Theory and Experiments

TL;DR: This brief presents a three-layer control architecture for coordinated control of multiple unmanned aerial vehicle manipulators (UAVMs): the centralized top layer plans the end-effector desired trajectories of each UAVM; the middle layer, local to each vehicle, computes the corresponding motion references; the bottom layer is a low level dynamic motion controller, which tracks the motion references.