References
- J. Smit et al., “Industry 4.0: Policy Department A - Economic and Scientific Policy,” European Parliament, Directorate-General for Internal Policies, February 2016.
- M.B. Alatise and G.P. Hancke, “A Review on Challenges of Autonomous Mobile Robot and Sensor Fusion Methods,” IEEE Access, vol. 8, 2020, pp. 39830–39846. doi: 10.1109/ACCESS.2020.2975643.
- G. Fragapane et al., “Planning and Control of Autonomous Mobile Robots for Intralogistics: Literature Review and Research Agenda,” European Journal of Operational Research, vol. 294, no. 2, 2021, pp. 405–426. doi: 10.1016/j.ejor.2021.01.019.
- K. Katona, H.A. Neamah, and P. Korondi, “Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot,” Sensors, vol. 24, no. 11, 2024, 3573. doi: 10.3390/s24113573.
- J. Morgenstern and H. Zadek, “AMR: Influencing Factors and Potentials of Cloud-Robotics,” Proc. 16th International Doctoral Students Workshops on Logistics, Supply Chain and Production Management, 2023, pp. 81–88.
- J.R. Sanchez-Ibanez, C.J. Perez-del-Pulgar, and A. Garcla-Cerezo, “Path Planning for Autonomous Mobile Robots: A Review,” Sensors, vol. 21, no. 23, 2021, 7898. doi: 10.3390/s21237898.
- S. Santoro, “Design and Implementation of a Sensory System for an Autonomous Mobile Robot in a Connected Industrial Environment,” master’s thesis, Dept. Mechatronic Engineering, Politecnico di Torino, 2021.
- GeekPlus Technologies, “Autonomous Mobile Robot Solutions,” Available: https://www.geekplus.com/en/(accessed Sep. 2024).
- Clearpath Robotics, “Autonomous Mobile Robots and Robotics Platforms,” Available: https://clearpathrobotics.com/(accessed Sep. 2024).
- ROBOTS (IEEE Spectrum), “Proteus – Autonomous Mobile Robot,” 2022. Available: https://robotsguide.com/robots/proteus (accessed Sep. 2024).
- M. Quigley et al., “ROS: An Open-Source Robot Operating System,” Proc. IEEE International Conference on Robotics and Engineering, 2009.
- A. Alessandro, “Robotic Arm Pick-and-Place Tasks: Implementation and Comparison of Approaches with and without Machine Learning Techniques,” master’s thesis, Dept. Mechatronic Engineering, Politecnico di Torino, 2020.
- D. Taranta et al., “An Autonomous Mobile Robot Navigation Architecture for Dynamic Intralogistics,” Proc. 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), 2021, pp. 1–6.
- B. Hichri et al., “Lifting Mechanism for Payload Transport by Collaborative Mobile Robots,” New Trends in Mechanism and Machine Science, vol. 24, P. Flores, F. Viadero, eds., Springer, Cham, 2015, pp. 157–165.
- D. Heath, “Design of a Competition Capable Hobby Rocket,” Oxford Brookes University, 2018.
- D.P. Sichkar et al., “Moving Elements of Mobile Robots Stabilization Modelling,” Proc. 2019 Systems of Signals Generating and Processing in the Field of on Board Communications, 2019, pp. 1–5.
- C. Wang et al., “Autonomous Mobile Robot Navigation in Uneven and Unstructured Indoor Environments,” Proc. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017, pp. 109–116.
- A.K. Grover and M. H. Ashraf, “Leveraging Autonomous Mobile Robots for Industry 4.0 Warehouses: A Multiple Case Study Analysis,” International Journal Logistics Management, vol. 35, no. 4, 2024, pp. 1168–1199. doi: 10.1108/IJLM-09-2022-0362.
- R. Bostelman et al., “3D Range Imaging for Urban Search and Rescue Robotics Research,” Proc. IEEE International Safety, Security and Rescue Robotics Workshop, 2005, pp. 145–150.
- A. Vemula, K. Muelling, and J. Oh, “Path Planning in Dynamic Environments with Adaptive Dimensionality,” arXiv preprint, 22 May 2016.
- M. Zeng, “PI(t)D(t) Control and Motion Profiling for Omnidirectional Mobile Robots,” arXiv preprint, 19 Oct. 2021.
- P. Hart, N. Nilsson, and B. Raphael, “A Formal Basis for the Heuristic Determination of Minimum Cost Paths,” IEEE Transactions on Systems Science and Cybernetics, vol. 4, no. 2, pp. 100–107, 1968. doi: 10.1109/TSSC.1968.300136.
- J. Petereit et al., “Application of Hybrid A* to an Autonomous Mobile Robot for Path Planning in Unstructured Outdoor Environments,” Proc. 7th German Conference on Robotics (ROBOTIK 2012), 2012.