Antonio Bono

Orcid: 0000-0002-2294-2766

According to our database1, Antonio Bono authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Open Access NAO (OAN): a ROS2-based software framework for HRI applications with the NAO robot.
CoRR, 2024

2023
Swarm Trajectories Generation for Target Capturing With Uncertain Information.
IEEE Trans. Control. Netw. Syst., December, 2023

Emergent Hypotrochoidal and Epitrochoidal Formations in a Swarm of Agents.
IEEE Trans. Autom. Control., December, 2023

Reference Tracking for Multiagent Systems Using Model Predictive Control.
IEEE Trans. Control. Syst. Technol., July, 2023

Distributed region following and perimeter surveillance tasks in star-shaped sets.
Syst. Control. Lett., February, 2023

Swarm fixed-time reference tracking: a discrete model.
Int. J. Control, 2023

A Plug & Play Command Generator for Swarm Formation on Multiple Arbitrary Shaped Orbits: A Diffeomorphism-Based Approach.
IEEE Control. Syst. Lett., 2023

2022
A Swarm-Based Distributed Model Predictive Control Scheme for Autonomous Vehicle Formations in Uncertain Environments.
IEEE Trans. Cybern., 2022

Path Planning and Control of a UAV Fleet in Bridge Management Systems.
Remote. Sens., 2022

Target Capturing in an Ellipsoidal Region for a Swarm of Double Integrator Agents.
IEEE CAA J. Autom. Sinica, 2022

A Swarm Model for Target Capturing in a Polygonal Strip.
Proceedings of the 8th International Conference on Control, 2022

2020
A Discrete-Time Model for Swarm Formation With Coordinates Coupling Matrix.
IEEE Control. Syst. Lett., 2020

Vortex Formation in a Swarm of Agents With a Coordinates Mixing Matrix-Based Model.
IEEE Control. Syst. Lett., 2020

A kinematic swarm model for vortex-like behavior around an uncertain target.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

2019
A distributed model predictive control strategy for vehicle teams in uncertain narrowed environments.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019


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