Publications

[ Author(Desc)] Title Type Year
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C. Paliotta, Lefeber, E., Pettersen, K. Y., Pinto, J., Costa, M., and J. de Sousa, Tde Figueir, Trajectory Tracking and Path Following for Underactuated Marine Vehicles, IEEE Transactions on Control Systems Technology, pp. 1-15, 2018.
C. Paliotta, Lefeber, E., Pettersen, K. Ytterstad, Pinto, J., Costa, M., and de Sousa, J. Tasso de F., Trajectory Tracking and Path Following for Underactuated Marine Vehicles, IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, vol. 27, pp. 1423-1437, 2019.
F. Lobo Pereira, de Sousa, J. Borges, Gomes, R. Joel, and Calado, P., A Model Predictive Control Approach to AUVs Motion Coordination, in Coordination Control of Distributed Systems, J. H. Van Schuppen and Villa, T., Eds. Springer International Publishing, 2015, pp. 9–18.
E. Pereira, Kirsch, C. M., Sengupta, R., and de Sousa, J. Borges, Bigactors - A model for structure-aware computation, in 2013 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2013, 2013.
F. Lobo Pereira and de Sousa, J. Borges, A differential game with graph constrained dynamic switching strategies, in Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228), vol. 5, 2001, pp. 4394–4399.
J. Pinto, Costa, M. João, Dias, P. Sousa, and Sousa, J. Borges, Studying the Pacific Subtropical Front with Multiple Assets, Instrumentation Viewpoint, 2018.
J. Pinto, Mendes, R., da Silva, J. C. B., Dias, J. M., and de Sousa, J. B., Multiple Autonomous Vehicles Applied to Plume Detection and Tracking, in 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO), 2018.
J. Pinto, Faria, M., Fortuna, J., Martins, R., de Sousa, J. Borges, Queiroz, N., Py, F., and Rajan, K., Chasing Fish: Tracking and control in a autonomous multi-vehicle real-world experiment, Proc. MTS/IEEE Oceans, pp. 1–6, 2013.
J. Pinto, Ribeiro, M., Gonçalves, P., and de Sousa, J. Borges, Web enabling ocean vehicles under intermittent communications, in OCEANS 2016 MTS/IEEE Monterey, 2016.
J. Pinto, Martins, R., and de Sousa, J. Borges, Towards a REST-style architecture for networked vehicles and sensors, in 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), 2010.
J. Pinto, Ribeiro, M., Giodini, S., L'Hoir, P., Sartore, A., Giron-Sierra, J. M., Braga, J., and Sousa, J., Network enabled cooperation of autonomous vehicles: A communications perspective, in OCEANS 2017 - Aberdeen, 2017.
J. Pinto, Calado, P., Braga, J., Dias, P. Sousa, Martins, R., Marques, E. R. B., and de Sousa, J. Borges, Implementation of a control architecture for networked vehicle systems, IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles (NGCUV'2012), vol. 270180, 2012.
J. Pinto, Dias, P. Sousa, de Sousa, J. Borges, and Pereira, F. Lobo, Large scale data collection using networks of heterogeneous vehicles and sensors, in OCEANS 2009-EUROPE, 2009.
J. Pinto, de Sousa, J. Borges, Py, F., and Rajan, K., Experiments with Deliberative Planning on Autonomous Underwater Vehicles, in IROS Workshop on Robotics for Environmental Modeling, Algarve, Portugal, 2012.
J. Pinto, Dias, P. S., and de Sousa, J. B., Coordinated Operation of Multiple AUVs using the LSTS Toolchain, in 2018 IEEE OES Autonomous Underwater Vehicle Symposium, 2018.
J. Pinto, Dias, P. Sousa, Martins, R., Fortuna, J., Marques, E. R. B., and de Sousa, J. Borges, The LSTS toolchain for networked vehicle systems, 2013 MTS/IEEE OCEANS - Bergen, pp. 1–9, 2013.
J. Pinto, Dias, P. Sousa, Pereira, J., Caldas, R., Rodrigues, T., de Sousa, J. Borges, Py, F., and Rajan, K., Mixed-Initiative Interaction for Tracking of Ocean Sunfish, IFAC-PapersOnLine, vol. 48, pp. 94–99, 2015.
J. Pinto, Dias, P. Sousa, and Sousa, J. Borges, Ripples: A tool for supervision and control of remote assets, Instrumentation Viewpoint, 2018.
J. Pinto, Dias, P., Ribeiro, M., Costa, M., and Sousa, J., Networked vehicle systems: From vision to reality, in OCEANS 2017 - Aberdeen, 2017.
F. Py, Pinto, J., Silva, M. A., Johansen, T. Arne, de Sousa, J. Borges, and Rajan, K., EUROPtus: A Mixed-initiative Controller for Multi-Vehicle Oceanographic Field Experiments, International Symposium on Experimental Robotics, pp. 1–10, 2016.

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