AUTONOMOUS SYSTEMS LABORATORY (LSA)

The Autonomous Systems Laboratory (LSA) is devoted to leveraging computing and engineering knowledge in the research of autonomous systems, artificial intelligence, both physical (robotics) and virtual (autonomous agents and simulation). In this regard, the laboratory is eminently multidisciplinary and a focal point for the most diverse disciplines of knowledge.

The laboratory has a complete set of programmable robotics resources, including different mobile platforms (boats, drones, land robots), robotic arms, sensors (cameras, IMU, LIDAR), embedded computers, FPGAs, etc.

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RESEARCH TOPICS

AUTONOMOUS SYSTEMS

ROBOTICS

AI SAFETY

ROBUST DEEP LEARNING

In addition to related topics such as: Embedded Systems, Cryptography, Multicore Architectures, and Hardware Accelerator.

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PROJECTS

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DUSVs

Obstacle detection plays an essential role in unmanned surface vehicles (USVs), as correct detection can cause a course change. At the same time, a failure can lead to vessel breakage or even an accident involving people. In this sense, this research project aims to create a dataset with annotated images to detect marine obstacles, called DUSVs.

INTELLIGENT AUTONOMOUS BOATS

This research project aims to study and evaluate machine learning algorithms that can be embedded in unmanned surface vehicles (USVs), more specifically, that improve intelligence, without neglecting the autonomy of robotic boats.

MULTIRAD

Multicore computing systems are assuming key autonomous functions in safety-critical applications such as electric/hybrid self-driving cars, drones, aircraft, and satellites. The MultiRad project aims to study and evaluate the radiation effects on embedded systems to improve the reliability of forthcoming multicore computing systems running safety-critical artificial intelligence algorithms.

TEAM

RAFAEL GARIBOTTI

Associate Professor - Coordinator

NEY CALAZANS

Full Professor

MARCOS FLECK

Master's Student

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EXTERNAL COLLABORATORS

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ALEXANDRE AMORY

Former Coordinator - Sant'Anna School of Advanced Studies, Italy

FELIPE MENEGUZZI

University of Aberdeen, UK

LUCIANO OST

Loughborough University, UK

PUBLICATIONS

2022

R.P. Bastos, M.G. Trindade, R. Garibotti, J. Gava, R. Reis and L. Ost, "Assessment of Tiny Machine-Learning Computing Systems under Neutron-Induced Radiation Effects," in IEEE Transactions on Nuclear Science, 2022.
G. Abich, R. Garibotti, R. Reis and L. Ost, "The Impact of Soft Errors in Memory Units of Edge Devices Executing Convolutional Neural Networks," in IEEE Transactions on Circuits and Systems II: Express Briefs, 2022.

N. Lodéa, W. Nunes, V. Zanini, M. Sartori, L. Ost, N. Calazans, R. Garibotti and C. Marcon, "Early Soft Error Reliability Analysis on RISC-V," in IEEE Latin America Transactions, 2022.
V. Rocha, N. Moura, J. Gava, V. Bandeira, L. Ost, R. Reis and R. Garibotti, "Soft Error Reliability Assessment of Lightweight Cryptographic Algorithms for IoT Edge Devices," in IEEE International Symposium on Circuits and Systems (ISCAS), 2022.
G. Abich, R. Garibotti, J. Gava, R. Reis and L. Ost, "Impact of Thread Parallelism on the Soft Error Reliability of Convolution Neural Networks," in IEEE Latin America Symposium on Circuits and System (LASCAS), 2022.
J. Gava, N. Moura, V. da Rocha, R. Garibotti, S. Cuenca-Asensi, R.P. Bastos, R. Reis and L. Ost, "Assessment of Radiation-Induced Soft Error on Lightweight Cryptography Algorithms," in Conference on Radiation Effects on Components and Systems (RADECS), 2022.
J. Gava, G. Abich, R. Garibotti, S. Cuenca-Asensi, R.P. Bastos, R. Reis and L. Ost, "A Lightweight Mitigation Technique for Resource-constrained Devices under Neutron Radiation," in Conference on Radiation Effects on Components and Systems (RADECS), 2022.

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CONTACT

Av. Ipiranga, 6681 - Build 32 - Room 629 - CEP: 90619-900 - Porto Alegre, RS / Brazil

Email: rafael.garibotti@pucrs.br

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