Dia 25.06.2024 das 15:00 `as 17:00, Centro de Tecnologia/UFRJ - Sala H214

Load Transportation by Single and Multiple Aerial Vehicles (VER PDF EM ANEXO)

Abstract: This talk focuses on the development and experimental validation of advanced nonlinear

control strategies for Aerial Uninhabited Vehicles (AUVs), with particular emphasis on load

transportation by single and multiple quadrotor vehicles. The presentation will cover the design and

rigorous experimental evaluation of control algorithms aimed at enhancing the capabilities of AUVs

in handling complex transportation tasks. Key aspects include the development of feedback control

strategies for global exponential stabilization of slung loads. Further discussion will delve into

control strategies for formation flight, which are critical for coordinated multi-vehicle operations.

Experimental results from the Sensor-Based Cooperative Robotics Research Laboratory (SCORE-

Lab) at the University of Macau will be showcased, demonstrating the practical implementation

and effectiveness of these strategies in real-world scenarios. This talk not only highlights significant

advancements in control technology for AUVs slung load transportation but also illustrates the

potential for future applications in aerial logistics and transportation.

Carlos Silvestre

Faculty of Science and Technology

University of Macau, Macau, China

Short Bio: Biography. Short Biography: Carlos Silvestre (Senior Member,

IEEE), received his Licenciatura and M.Sc. in Electrical Engineering

and Computers, Ph.D. in Control Science, and Habilitation in Electrical

Engineering and Computers from the Instituto Superior T ́ecnico (IST),

Lisbon, Portugal, in 1987, 1991, 2000, and 2011, respectively. He has been

with the Department of Electrical Engineering and Computers at IST since

2000, on leave since 2012. He is currently a Professor at the University of

Macau’s Faculty of Science and Technology. His research areas encompass linear and nonlinear

control and estimation theory, hybrid systems, multiagent control systems, networked control

systems, inertial navigation systems, and machine learning for control of autonomous systems,

with a focus on unmanned ocean and air vehicles.