Search Results - "Conceição, André G.S."

Formation control driven by cooperative object tracking by Lima, Pedro U., Ahmad, Aamir, Dias, André, Conceição, André G.S., Moreira, António Paulo, Silva, Eduardo, Almeida, Luis, Oliveira, Luis, Nascimento, Tiago P.

“…In this paper we introduce a formation control loop that maximizes the performance of the cooperative perception of a tracked target by a team of mobile…”
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FASTEN IIoT: An Open Real-Time Platform for Vertical, Horizontal and End-To-End Integration by Costa, Felipe S, Nassar, Silvia M, Gusmeroli, Sergio, Schultz, Ralph, Conceição, André G S, Xavier, Miguel, Hessel, Fabiano, Dantas, Mario A R

“…The Industry 4.0 paradigm, since its initial conception in Germany in 2011, has extended its scope and adoption to a broader set of technologies. It is being…”
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Deep Learning Applied to Vegetation Identification and Removal Using Multidimensional Aerial Data by F Pinto, Milena, G Melo, Aurelio, M Honório, Leonardo, L M Marcato, André, G S Conceição, André, O Timotheo, Amanda

“…When performing structural inspection, the generation of three-dimensional (3D) point clouds is a common resource. Those are usually generated from…”
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Nonlinear Model Predictive Formation Control: An Iterative Weighted Tuning Approach by Nascimento, Tiago P., Costa, Luis F. S., Conceição, André G. S., Moreira, António Paulo

“…A nonlinear model predictive formation controller (NMPFC) was used to converge a group of middle sized mobile soccer robots towards a desired target using the…”
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Nonlinear Model Predictive Visual Path Following Control to Autonomous Mobile Robots by Ribeiro, Tiago T., Conceição, André G. S.

“…This paper proposes a novel approach to the visual path following problem based on Nonlinear Model Predictive Control. Simplified visual features are extracted…”
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Distributed Constrained NMPC with Infeasibility Handling Applied to Formation Control of Nonholonomic Vehicles by Ribeiro, Tiago T., da Costa, Augusto L., Conceição, André G. S.

“…This paper presents a distributed constrained nonlinear model predictive controller with infeasibility handling for formation control of a group of…”
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A New Approach Based in Potential Fields with Obstacles Avoidance for Mobile Robots by Cerqueira, Tadeu Abreu, Santos, Tito L. M., Conceicao, Andre G. S.

“…This paper proposes a new approach for the method of path planning with obstacles avoidance based on potential fields, also known as APF method. This new…”
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Iterative weighted tuning for a nonlinear model predictive formation control by Nascimento, Tiago P., Conceicao, Andre G. S., Moreira, Antonio Paulo

“…A multi-robot system is formed when a group of robots interact with the environment as a single system. This system can also be in formation in order to…”
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A simplified trajectory tracking control based on linear design for Skid-Steered wheeled UGVs by Vilas Boas, Lorenna S., Santos, Tito L.M., Conceicao, Andre G.S.

“…This paper proposes a trajectory tracking control strategy for Skid-Steered wheeled UGVs based on a simplified controller design and robust analysis. The…”
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Predictive Control of an Omnidirectional Mobile Robot with Friction Compensation by Conceicao, Andre G S, Dorea, Carlos E T, Sb, Julio C L Barreto

“…This paper focuses on the trajectory tracking control problem of a four wheeled omni directional mobile robot. The controller architecture considers both the…”
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NMPC-based Visual Leader-Follower Formation Control for Wheeled Mobile Robots by Ribeiro, Tiago T., Fernandez, Ramon O., Conceicao, Andre G. S.

“…This paper proposes a novel strategy for Leader-Follower formation control based on NMPC using visual information for wheeled mobile robots. The formation task…”
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6D Grasping Based On Lateral Curvatures and Geometric Primitives by de Oliveira, Daniel M., Viturino, Caio C. B., Conceicao, Andre G. S.

“…The following paper presents a 6D grasping system using a deep learning algorithm to detect and estimate the object pose in 6D in an RGB image paired with a…”
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Communication Faults in Robot Formation Control: A Reconfigurable Spanning Tree Approach by Kost'alova, Alena, Ribeiro, Tiago T., Conceicao, Andre G. S.

“…This poster paper proposes to use a spanning tree communication network to control the formation of a large group of robots. The spanning tree structure…”
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Convolutional Neural Network Based Object Detection for Additive Manufacturing by Lemos, Cezar B., Farias, Paulo C. M. A., Filho, Eduardo F. Simas, Conceicao, Andre G. S.

“…Efficient object detection is important for automatic manufacturing systems applications. This work proposes the use of deep learning neural networks for…”
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ORB Algorithm Applied to Detection, Location and Grasping Objects by Conceicao, Andre G.S., Oliveira, Daniel M., Carvalho, Maria Paula

“…Grasping objects is a highly used activity in the industry but is often done without the aid of vision, limiting the use to few controlled applications. This…”
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Visual servoing with fiducial landmarks for differential drive mobile robot by Fernandes, Ramon O., Fonseca, Michelle, Conceicao, Andre G. S.

“…This paper aims to present a visual servoing control strategy that uses visual information, acquired by a fiducial system, to solve the regulation to an…”
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Perception-driven multi-robot formation control by Ahmad, Aamir, Nascimento, Tiago, Conceicao, Andre G. S., Moreira, Antonio Paulo, Lima, Pedro

“…Maximizing the performance of cooperative perception of a tracked target by a team of mobile robots while maintaining the team's formation is the core problem…”
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Formation control of mobile robots using decentralized nonlinear model predictive control by Trindade Ribeiro, Tiago, Ferrari, Rafael, Santos, Jessivaldo, Conceicao, Andre G. S.

“…This paper presents a distributed nonlinear model predictive controller (NMPC) for formation control of a group of omnidirectional mobile robots. In this…”
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A cost effective open-source three-dimensional reconstruction system and trajectory analysis for mobile robots by Ferrari Pinto, Rafael, Conceicao, Andre G. S., Farias, P. C. M. A., Santos, Eduardo T. F.

“…This paper discusses the acquisition of image and depth data from the Microsoft Kinect's sensors for the subsequent reconstruction of a tridimensional…”
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