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O caminho, em construção.

As disciplinas cursadas e os artigos estudados em cada uma. Só as referências, com DOI para ler na fonte. As próximas etapas ainda não estão definidas.

Concluídas
4
Em curso
2
Artigos
93
Próximas
?
  1. Concluídas2026
  2. PEA5733Concluída

    Automação e Sociedade

    21 artigos estudados
    1. Al-Yacoub et al. (2021). Improving human robot collaboration through Force/Torque based learning for object manipulation. Robotics and Computer-Integrated Manufacturing. doi:10.1016/j.rcim.2020.102111
    2. Ananias & Gaspar (2022). A Low-Cost Collaborative Robot for Science and Education Purposes to Foster the Industry 4.0 Implementation. Applied System Innovation. doi:10.3390/asi5040072
    3. Angleraud et al. (2021). Coordinating Shared Tasks in Human-Robot Collaboration by Commands. Frontiers in Robotics and AI. doi:10.3389/frobt.2021.734548
    4. Arrais et al. (2020). On the development of a collaborative robotic system for industrial coating cells. The International Journal of Advanced Manufacturing Technology. doi:10.1007/s00170-020-06167-z
    5. Bagheri et al. (2022). Transparent Interaction Based Learning for Human-Robot Collaboration. Frontiers in Robotics and AI. doi:10.3389/frobt.2022.754955
    6. Calzavara et al. (2024). Achieving productivity and operator well-being: a dynamic task allocation strategy for collaborative assembly systems in Industry 5.0. The International Journal of Advanced Manufacturing Technology. doi:10.1007/s00170-024-14302-3
    7. Chan et al. (2022). Design and Evaluation of an Augmented Reality Head-mounted Display Interface for Human Robot Teams Collaborating in Physically Shared Manufacturing Tasks. ACM Transactions on Human-Robot Interaction. doi:10.1145/3524082
    8. El Zaatari et al. (2019). Cobot programming for collaborative industrial tasks: An overview. Robotics and Autonomous Systems. doi:10.1016/j.robot.2019.03.003
    9. Escallada et al. (2025). Human Attitudes in Robotic Path Programming: A Pilot Study of User Experience in Manual and XR-Controlled Robotic Arm Manipulation. Multimodal Technologies and Interaction. doi:10.3390/mti9030027
    10. Faccio et al. (2023). Task allocation model for human-robot collaboration with variable cobot speed. Journal of Intelligent Manufacturing. doi:10.1007/s10845-023-02073-9
    11. Giberti et al. (2022). A Methodology for Flexible Implementation of Collaborative Robots in Smart Manufacturing Systems. Robotics. doi:10.3390/robotics11010009
    12. Meattini et al. (2025). Programming Robot Interaction Behavior During Kinesthetic Teaching Exploiting sEMG-Based Interfacing and Vibrotactile Feedback. IEEE/ASME Transactions on Mechatronics. doi:10.1109/tmech.2025.3603402
    13. Nguyen et al. (2026). CoboGesture: A Continuous Hand Gesture Dataset and Recognition Method for Human-Collaborative Robot Interaction. IEEE Access. doi:10.1109/access.2026.3664027
    14. Noormohammadi-Asl et al. (2025). To Lead or to Follow? Adaptive Robot Task Planning in Human–Robot Collaboration. IEEE Transactions on Robotics. doi:10.1109/tro.2025.3582816
    15. Pietrantoni et al. (2024). Integrating collaborative robots in manufacturing, logistics, and agriculture: Expert perspectives on technical, safety, and human factors. Frontiers in Robotics and AI. doi:10.3389/frobt.2024.1342130
    16. Proia et al. (2025). Safety Compliant, Ergonomic and Time-Optimal Trajectory Planning for Collaborative Robotics. IEEE Transactions on Automation Science and Engineering. doi:10.1109/tase.2023.3331505
    17. Rahman et al. (2024). Cobotics: The Evolving Roles and Prospects of Next‐Generation Collaborative Robots in Industry 5.0. Journal of Robotics. doi:10.1155/2024/2918089
    18. Saenz et al. (2023). An Online Toolkit for Applications Featuring Collaborative Robots Across Different Domains. IEEE Transactions on Human-Machine Systems. doi:10.1109/thms.2022.3213416
    19. Tassi et al. (2022). An adaptive compliance Hierarchical Quadratic Programming controller for ergonomic human–robot collaboration. Robotics and Computer-Integrated Manufacturing. doi:10.1016/j.rcim.2022.102381
    20. Wolffgramm et al. (2025). Operators and their human–robot interdependencies: implications of distinct job decision latitudes for sustainable work and high performance. Frontiers in Robotics and AI. doi:10.3389/frobt.2025.1442319
    21. Wu et al. (2025). Wearable Sensor-Based Analysis of Human Biomechanics in Manual and Cobot-Assisted Agricultural Transplanting. Electronics. doi:10.3390/electronics14102043
  3. PEA5003Concluída

    Componentes de Automação em ITS

    39 artigos estudados
    1. Ahmed et al. (2022). Deviation Point Curriculum Learning for Trajectory Outlier Detection in Cooperative Intelligent Transport Systems. IEEE Transactions on Intelligent Transportation Systems. doi:10.1109/tits.2021.3131793
    2. Alanoca et al. (2025). Comparing Apples to Oranges: A Taxonomy for Navigating the Global Landscape of AI Regulation. SuperIntelligence - Robotics - Safety & Alignment. doi:10.70777/si.v2i3.15137
    3. Almuraqab (2021). Introduction to the critical success factors of E-government adoption of the utilization of emerging smart cities technologies. Solving Urban Infrastructure Problems Using Smart City Technologies. doi:10.1016/b978-0-12-816816-5.00001-2
    4. Altintas et al. (2026). Beyond Connectivity via Artificial Intelligence Agents Enabling Perceptive, Adaptive, and Anticipatory 6G Networks. IEEE Access. doi:10.1109/access.2026.3667803
    5. Antoniou et al. (2019). Enabling the use of a planning agent for urban traffic management via enriched and integrated urban data. Transportation Research Part C: Emerging Technologies. doi:10.1016/j.trc.2018.12.005
    6. Ayesha et al. (2025). CIRS: A Multi-Agent Machine Learning Framework for Real-Time Accident Detection and Emergency Response. Sensors. doi:10.3390/s25185845
    7. Azad‐Manjiri et al. (2025). DDPGAT: Integrating MADDPG and GAT for optimized urban traffic light control. IET Intelligent Transport Systems. doi:10.1049/itr2.70000
    8. Chang et al. (2026). Multimodal Intelligent Perception at an Intersection: Pedestrian and Vehicle Flow Dynamics Using a Pipeline-Based Traffic Analysis System. Electronics. doi:10.3390/electronics15020353
    9. Chatzistefanidis et al. (2026). AGORAN: An agentic open marketplace for 6G RAN automation. Computer Networks. doi:10.1016/j.comnet.2025.111927
    10. De Oliveira et al. (2021). An Agent-Based Simulation to Explore Communication in a System to Control Urban Traffic with Smart Traffic Lights. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal. doi:10.14201/adcaij2021103209225
    11. Deng et al. (2026). Leveraging large language model agents for cost-effective sensor data handling and urban traffic navigation. Engineering Applications of Artificial Intelligence. doi:10.1016/j.engappai.2026.114363
    12. El-Sherif (2021). Urban mobility systems components. Solving Urban Infrastructure Problems Using Smart City Technologies. doi:10.1016/b978-0-12-816816-5.00004-8
    13. Ercan & Kutay (2021). Smart cities critical infrastructure recommendations and solutions. Solving Urban Infrastructure Problems Using Smart City Technologies. doi:10.1016/b978-0-12-816816-5.00024-3
    14. Grigorev et al. (2024). Traffic Incident Duration Prediction: A Systematic Review of Techniques. Journal of Advanced Transportation. doi:10.1155/atr/3748345
    15. Guastella & Pournaras (2023). Cooperative Multi-Agent Traffic Monitoring Can Reduce Camera Surveillance. IEEE Access. doi:10.1109/access.2023.3343620
    16. Gupta & Sultana (2026). Quantum-Enhanced Edge Intelligence Leveraging Large Language Models for Immersive Space–Aerial–Ground Communications: Survey, Challenges, and Open Issues. Sensors. doi:10.3390/s26041181
    17. Hamdani et al. (2022). Agent-Based Approach for Connected Vehicles and Smart Road Signs Collaboration. Computing and Informatics. doi:10.31577/cai_2022_1_376
    18. He et al. (2024). Investigating the synergistic effects of temporal knowledge graphs and digital twin technologies to enhance situational awareness decision-making in smart cities. Journal of Computational Methods in Sciences and Engineering. doi:10.1177/14727978241305755
    19. Herich & Vaščák (2024). The Evolution of Intelligent Transportation Systems: Analyzing the Differences and Similarities between IoV and IoFV. Drones. doi:10.3390/drones8020034
    20. Kurucan (2024). Traffic Management System With Symbolic Discrete Controller Synthesis Technique. IEEE Access. doi:10.1109/access.2024.3435713
    21. Lee & Rew (2026). Multi-Agent Large Language Model-Based Decision Tree Analysis for Explainable Electric Vehicle Drive Motor Fault Diagnosis. Computers, Materials & Continua. doi:10.32604/cmc.2026.077691
    22. Liu et al. (2026). A comprehensive review of traffic flow forecasting based on deep learning. Neurocomputing. doi:10.1016/j.neucom.2025.132269
    23. Long et al. (2025). AI-Enabled Digital Twin Framework for Safe and Sustainable Intelligent Transportation. Sustainability. doi:10.3390/su17104391
    24. Mylonas et al. (2023). Harmonization of National Access Points to Intelligent Transport Systems data: A data content and added value perspective. Transportation Research Procedia. doi:10.1016/j.trpro.2023.11.839
    25. Nguyen & Sergey (2024). An investigation of sensing and technologies for supporting the intelligent transport management system in urban area. 2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST). doi:10.1109/sist61555.2024.10629272
    26. Othmani et al. (2026). Model context protocol-based agentic react large language model for adaptive traffic signals: Luxembourg case study. Future Generation Computer Systems. doi:10.1016/j.future.2025.108339
    27. Paiva et al. (2021). Enabling Technologies for Urban Smart Mobility: Recent Trends, Opportunities and Challenges. Sensors. doi:10.3390/s21062143
    28. Shabaz & Raju (2025). AI ‐Driven Traffic Flow Prediction and Anomaly Detection in Smart Cities: A Multi‐Agent Approach. Transactions on Emerging Telecommunications Technologies. doi:10.1002/ett.70279
    29. Sreelekha & Midhunchakkaravarthy (2025). Revolutionizing Urban Traffic Management: IoT-Driven Algorithms for Intelligent Transportation Systems. International Journal of Intelligent Transportation Systems Research. doi:10.1007/s13177-025-00472-1
    30. Tang et al. (2025). RouteKG: A Knowledge Graph-Based Framework for Route Prediction on Road Networks. IEEE Transactions on Intelligent Transportation Systems. doi:10.1109/tits.2025.3615448
    31. Tomás et al. (2026). Parallel agent-based modeling for improving traffic flow simulation. Transportation Research Interdisciplinary Perspectives. doi:10.1016/j.trip.2026.101930
    32. Vashisht et al. (2026). Multimodal and Agentic Intelligence–Driven ML Fusion for Sustainable 6G Network Slicing. IEEE Open Journal of the Communications Society. doi:10.1109/ojcoms.2026.3663612
    33. Walch et al. (2025). Impact assessment of cooperative intelligent transport systems (C-ITS): a structured literature review. European Transport Research Review. doi:10.1186/s12544-024-00702-9
    34. Wang et al. (2026). Traffic Flow Prediction in Intelligent Transportation Systems: A Comprehensive Review of Graph Neural Networks and Hybrid Deep Learning Methods. Algorithms. doi:10.3390/a19040310
    35. Waqar et al. (2023). Evaluation of challenges to the adoption of intelligent transportation system for urban smart mobility. Research in Transportation Business & Management. doi:10.1016/j.rtbm.2023.101060
    36. Xu & Li (2025). A Real-Time Urban Traffic Congestion Prediction Framework Based on Dynamic Risk Field and Multi-Source Data Fusion. IEEE Access. doi:10.1109/access.2025.3608954
    37. Zaitouny et al. (2022). Multiple Sensors Data Integration for Traffic Incident Detection Using the Quadrant Scan. Sensors. doi:10.3390/s22082933
    38. Zhang et al. (2024). MARVEL: Bringing Multi-Agent Reinforcement- Learning Based Variable Speed Limit Controllers Closer to Deployment. IEEE Access. doi:10.1109/access.2024.3489474
    39. Zhang et al. (2025). Review and prospect of floating car data research in transportation. Journal of Traffic and Transportation Engineering (English Edition). doi:10.1016/j.jtte.2024.09.005
  4. PEA5714Concluída

    Automação de Sistemas Industriais e Portuários

    15 artigos estudados
    1. Basulo-Ribeiro & Teixeira (2024). Industry 4.0 supporting logistics towards smart ports: Benefits, challenges and trends based on a systematic literature review. Journal of Industrial Engineering and Management. doi:10.3926/jiem.6180
    2. Douaioui et al. (2018). Smart port: Design and perspectives. 2018 4th International Conference on Logistics Operations Management (GOL). doi:10.1109/gol.2018.8378099
    3. Elhussieny (2025). Smart green ports: a sustainable solution for the maritime industry in a changing climate. Multidisciplinary Adaptive Climate Insights. doi:10.21622/maci.2025.02.1.1162
    4. Gattuso & Pellicanò (2023). Perspectives for ports development, based on automated container handling technologies. Transportation Research Procedia. doi:10.1016/j.trpro.2023.02.183
    5. Hoeflich et al. (2014). Proposta de framework de gerenciamento de riscos orgânicos aplicado à logística. Anais do XVII Simpósio de Pesquisa Operacional e Logística da Marinha. doi:10.5151/marine-spolm2014-126503
    6. Idrissi et al. (2022). Deployment Strategies of Mobile Networks for Internet-of-Things in Smart Maritime Ports. 2022 11th International Symposium on Signal, Image, Video and Communications (ISIVC). doi:10.1109/isivc54825.2022.9800728
    7. Ilin et al. (2019). Digital Technology Implementation for Smart City and Smart Port Cooperation. Proceedings of the International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019). doi:10.2991/icdtli-19.2019.87
    8. Le & Nguyen (2023). The Development of Green Ports in Emerging Nations: A Case Study of Vietnam. Sustainability. doi:10.3390/su151813502
    9. Li et al. (2025). Supply chain resilience from the maritime transportation perspective: A bibliometric analysis and research directions. Fundamental Research. doi:10.1016/j.fmre.2023.04.003
    10. Paraskevas et al. (2024). Smart Ports in Industry 4.0: A Systematic Literature Review. Logistics. doi:10.3390/logistics8010028
    11. Park et al. (2006). RFID-Based RTLS for Improvement of Operation System in Container Terminals. 2006 Asia-Pacific Conference on Communications. doi:10.1109/apcc.2006.255837
    12. Resende et al. (2023). Emerging Technologies and Sustainability in Brazilian Ports and Terminals: An Analysis of the Current Situation. Research Square Platform LLC. doi:10.21203/rs.3.rs-3740575/v1
    13. Shi et al. (2011). RFID Technology and its Application to Port-Based Container Logistics. Journal of Organizational Computing and Electronic Commerce. doi:10.1080/10919392.2011.614202
    14. Wang et al. (2020). Multi-Source Transfer Network for Cross Domain Person Re-Identification. IEEE Access. doi:10.1109/access.2020.2991440
    15. World Bank (2024). Port Community Systems: Lessons from Global Experience. Washington, DC: World Bank. doi:10.1596/42269
  5. PCS5761Concluída

    Especificação de Sistemas de Tempo Real

    Sem artigos na lista de leitura.

  6. Em curso3º período de 2026
  7. PEA5004Em curso

    Sistemas de Automação para Monitoramento e Segurança Pública, Privada e Ambiental para Área Portuária

    18 artigos estudados
    1. Barati (2023). Open Government Data Programs and Information Privacy Concerns: A Literature Review. JeDEM - eJournal of eDemocracy and Open Government. doi:10.29379/jedem.v15i1.759
    2. Du et al. (2023). Container Terminal Digital Twin Yard System Construction. Processes. doi:10.3390/pr11072223
    3. Durlik et al. (2024). Harnessing AI for Sustainable Shipping and Green Ports: Challenges and Opportunities. Applied Sciences. doi:10.3390/app14145994
    4. Eichenhofer et al. (2020). An In-Depth Security Assessment of Maritime Container Terminal Software Systems. IEEE Access. doi:10.1109/access.2020.3008395
    5. Gkika et al. (2025). The International Ship and Port Facility Security (ISPS) Code and Port-Industry Stakeholders Satisfaction. Springer Proceedings in Business and Economics. doi:10.1007/978-3-031-81962-9_85
    6. Heikkilä et al. (2022). Innovation in Smart Ports: Future Directions of Digitalization in Container Ports. Journal of Marine Science and Engineering. doi:10.3390/jmse10121925
    7. Inkinen et al. (2019). Port Digitalization with Open Data: Challenges, Opportunities, and Integrations. Journal of Open Innovation: Technology, Market, and Complexity. doi:10.3390/joitmc5020030
    8. Mendes Constante et al. (2023). Innovation ecosystems in ports: a comparative analysis of Rotterdam and Valencia. Journal of Shipping and Trade. doi:10.1186/s41072-023-00145-w
    9. Mthembu & Chasomeris (2022). A systems approach to developing a port community system for South Africa. Journal of Shipping and Trade. doi:10.1186/s41072-022-00128-3
    10. Ringsberg & Cole (2020). Maritime security guidelines: a study of Swedish ports’ perceived barriers to compliance. Maritime Policy & Management. doi:10.1080/03088839.2020.1711977
    11. Saragiotis (2019). Business process management in the port sector: a literature review. Maritime Business Review. doi:10.1108/mabr-10-2018-0042
    12. Teffé & Viola (2020). Tratamento de dados pessoais na LGPD: estudo sobre as bases legais. Civilistica.com
    13. Tijan et al. (2021). Digital transformation in the maritime transport sector. Technological Forecasting and Social Change. doi:10.1016/j.techfore.2021.120879
    14. Tsolakis et al. (2021). Towards AI driven environmental sustainability: an application of automated logistics in container port terminals. International Journal of Production Research. doi:10.1080/00207543.2021.1914355
    15. Tsoulfas (2025). Port resilience: a systematic literature review. Maritime Economics & Logistics. doi:10.1057/s41278-025-00326-3
    16. Tubis & Poturaj (2022). Risk Related to AGV Systems—Open-Access Literature Review. Energies. doi:10.3390/en15238910
    17. Verschuur et al. (2022). A systemic risk framework to improve the resilience of port and supply-chain networks to natural hazards. Maritime Economics & Logistics. doi:10.1057/s41278-021-00204-8
    18. Žužek et al. (2020). Adopting Agile Project Management Practices in Non-Software SMEs: A Case Study of a Slovenian Medium-Sized Manufacturing Company. Sustainability. doi:10.3390/su12219245
  8. PCS5787Em curso

    Ciência dos Dados e Big Data

    Sem artigos na lista de leitura.

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