Development of an Arduino-based Control and Sensor System for a Robotic Laparoscopic Surgical Unit

Fracisco Emmanuel Jr., III Munsayac; Nilo Bugtai; Renann Baldovino; Noelle Marie Espiritu; Lowell Nathaniel  Singson

doi:10.32871/rmrj2412.01.10

Authors

Fracisco Emmanuel Jr., III Munsayac Institute of Biomedical Engineering and Health Technologies, De La Salle University, Manila, Philippines https://orcid.org/0000-0002-5156-2041
Nilo Bugtai Institute of Biomedical Engineering and Health Technologies, De La Salle University, Manila, Philippines https://orcid.org/0000-0003-4850-9415
Renann Baldovino Institute of Biomedical Engineering and Health Technologies, De La Salle University, Manila, Philippines https://orcid.org/0000-0002-8709-5692
Noelle Marie Espiritu Institute of Biomedical Engineering and Health Technologies, De La Salle University, Manila, Philippines https://orcid.org/0009-0004-4870-3079
Lowell Nathaniel Singson Institute of Biomedical Engineering and Health Technologies, De La Salle University, Manila, Philippines https://orcid.org/0009-0002-8725-3416

DOI:

https://doi.org/10.32871/rmrj2412.01.10

Keywords:

minimally invasive surgery (MIS), robot-assisted minimally invasive surgery (RMIS), robotic surgical systems, robotic surgery, control systems

Abstract

The LAPARA System, a Philippine-made robotic surgical system, tested its control system in this paper. Three types of tests are then done to the system: PID Optimization Test, Position Checking, and Data Transfer Rate and Memory Bandwidth Testing. Results from the PID resulted in the values 2.32 for the P, 0.4 for the I, and 1.5 for the D to be chosen to ensure the system runs smoothly. The system was also able to run properly during Position Checking, though movement in the Pitch and Yaw required refinement due to the constraints. Also, the data transfer rate for the PC to Arduino Due connection yielded a 128kb/s speed, slower than the 480 Mbps rating, while the memory bandwidth testing yielded results that allowed for storage of 23,040 32_bit values. In conclusion, although minor adjustments were needed to refine the system, the LAPARA system was able to perform as intended.

References

Applied Dexterity. (n.d.). History. Retrieved March 29, 2023, from http://applieddexterity.com/about/history/

Bandari, N., Dargahi, J., & Packirisamy, M. (2020a). Miniaturized optical force sensor for minimally invasive surgery with learning-based nonlinear calibration. IEEE Sensors Journal, 20(7), 3579–3592. https://doi.org/10.1109/JSEN.2019.2959269

Bandari, N., Dargahi, J., & Packirisamy, M. (2020b). Tactile sensors for minimally invasive surgery: A review of the state-of-the-art, applications, and perspectives. IEEE Access, 8, 7682–7708. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8943415

Chen, M., Wang, D., Zou, J., Sun, L., Sun, J., & Jin, G. (2019). A multi-module soft robotic arm with soft end effector for minimally invasive surgery. 2019 2nd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM), 461–465.

Chioson, F. B., Espiritu, N. M., Munsayac, F. E., Jimenez, F., Lindo, D. E., Santos, M. B., Reyes, J., Tan, L. J. A. F., Dajay, R. C. R., Baldovino, R. G., & Bugtai, N. T. (2020). Recent advancements in robotic minimally invasive surgery: A review from the perspective of robotic surgery in the Philippines. 020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 1–7. https://doi.org/10.1109/HNICEM51456.2020.9400042

Elprocus. (n.d.). How does a PID controller work? - structure & tuning methods. ElProCus - Electronic Projects for Engineering Students. https://www.elprocus.com/the-working-of-a-pid-controller/

Espiritu, N. M., Balcita, V. D. G., Goy, T. P. P., Perez, E. M. S., Baldovino, R. G., Munsayac, F. E. T., & Bugtai, N. T. (2021). A 2021 review on recent advancements in robotic-assisted minimally invasive surgery: The Philippines perspective. 2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 1–5. https://doi.org/10.1109/hnicem54116.2021.9731947

Fontanelli, G. A., Buonocore, L. R., Ficuciello, F., Villani, L., & Siciliano, B. (2020). An external force sensing system for minimally invasive robotic surgery. IEEE/ASME Transactions on Mechatronics, 25(3), 1543–1554. https://doi.org/10.1109/TMECH.2020.2979027

Friedrich, D. T., Dürselen, L., Mayer, B., Hacker, S., Schall, F., Hahn, J., Hoffmann, T. K., Schuler, P. J., & Greve, J. (2018). Features of haptic and tactile feedback in TORS-a comparison of available surgical systems. Journal of Robotic Surgery, 12(1), 103–108. https://doi.org/10.1007/s11701-017-0702-4

Haidegger, T. (2019). Autonomy for Surgical Robots: Concepts and Paradigms. IEEE Transactions on Medical Robotics and Bionics, 1(2), 65–76. https://doi.org/10.1109/TMRB.2019.2913282

Hao, R., Özgüner, O., & Çavuşoğlu, M. C. (2018). Vision-based surgical tool pose estimation for the da Vinci® robotic surgical system. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1298–1305. https://doi.org/10.1109/IROS.2018.8594471

Institute of Robotics and Mechatronics. (n.d.-a). Mica. Www.dlr.de. Retrieved June 5, 2024, from https://www.dlr.de/en/rm/research/robotic-systems/hands/mica#gallery/29823

Institute of Robotics and Mechatronics. (n.d.-b). Miro. Retrieved March 29, 2023, from https://www.dlr.de/en/rm/research/robotic-systems/arms/miro#gallery/29804

Institute of Robotics and Mechatronics. (n.d.-c). MiroSurge. Retrieved March 29, 2023, from https://www.dlr.de/en/rm/research/robotic-systems/multi-arm/mirosurge#gallery/28728

Jacobs, T., Veneman, J., Virk, G. S., & Haidegger, T. (2017, December 14). The flourishing landscape of robot standardization. IEEE Standards University. https://www.standardsuniversity.org/e-magazine/december-2017/flourishing-landscape-robot-standardization/

Kennedy-Metz, L. R., Mascagni, P., Torralba, A., Dias, R. D., Perona, P., Shah, J. A., Padoy, N., & Zenati, M. A. (2021). Computer vision in the operating room: Opportunities and caveats. IEEE Transactions on Medical Robotics and Bionics, 3(1), 2–10. https://doi.org/10.1109/tmrb.2020.3040002

Kil, I., Singapogu, R. B., & Groff, R. E. (2019). Needle entry angle & force: Vision-enabled force-based metrics to assess surgical suturing skill. 2019 International Symposium on Medical Robotics (ISMR), 1–6. https://doi.org/10.1109/ISMR.2019.8710175

Maddah, M. R., Dumas, C., Gauthier, O., Fusellier, M., & Cao, C. G. L. (2020). Measuring organ shift and deformation for port placement in robot-assisted minimally invasive surgery. Laparoscopic, Endoscopic and Robotic Surgery, 3(4), 99–106. https://doi.org/10.1016/j.lers.2020.09.002

Mariani, A., Colaci, G., Da Col, T., Sanna, N., Vendrame, E., Menciassi, A., & De Momi, E. (2020). An experimental comparison towards autonomous camera navigation to optimize training in robot assisted surgery. IEEE Robotics and Automation Letters, 5(2), 1461–1467. https://doi.org/10.1109/lra.2020.2965067

Medical Microinstruments, Inc. (n.d.). Robotic surgical systems: How it works. https://www.mmimicro.com/our-technology/how-it-works/

Omisore, O. M., Han, S., Xiong, J., Li, H., Li, Z., & Wang, L. (2022). A review on flexible robotic systems for minimally invasive surgery. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(1), 631–644. https://doi.org/10.1109/TSMC.2020.3026174

Palep, J. H. (2009). Robotic assisted minimally invasive surgery. Journal of Minimal Access Surgery, 5(1), 1–7. https://doi.org/10.4103/0972-9941.51313

Reiley, C. E., Akinbiyi, T., Burschka, D., Chang, D. C., Okamura, A. M., & Yuh, D. D. (2008). Effects of visual force feedback on robot-assisted surgical task performance. The Journal of Thoracic and Cardiovascular Surgery, 135(1), 196–202. https://doi.org/10.1016/j.jtcvs.2007.08.043

Rodrigues, V., & López-Cano, M. (2021). TARUP technique. Advantages of minimally invasive robot-assisted abdominal wall surgery. Cirugía Española (English Edition), 99(4), 302–305. https://doi.org/10.1016/j.cireng.2021.03.009

Ross, S., & DeReus, H. (2018, April 2). Flex robotic system and flex colorectal drive. Society of American Gastrointestinal and Endoscopic Surgeons (SAGES). https://www.sages.org/publications/tavac/flex-robotic-system-and-flex-colorectal-drive/

Sagitov, A., Gavrilova, L., Tsoy, T., & Li, H. (2019). Design of simple one-arm surgical robot for minimally invasive surgery. 2019 12th International Conference on Developments in ESystems Engineering (DeSE), 500–503. https://doi.org/10.1109/DeSE.2019.00097

Shi, Y., Singh, S. K., & Yang, L. (2021). Classical control strategies used in recent surgical robots. Journal of Physics: Conference Series, 1922(1), 012010. https://doi.org/10.1088/1742-6596/1922/1/012010

St. Luke’s unparalleled technology and expertise. (2017, October 2). St. Luke’s Medical Center. https://www.stlukes.com.ph/news-and-events/news-and-press-release/st-lukes-unparalleled-techology-and-expertise

Titan Medical Inc., (n.d.). Intellectual property. Retrieved March 29, 2023 from https://titanmedicalinc.com/intellectual-property/

Development of an Arduino-based Control and Sensor System for a Robotic Laparoscopic Surgical Unit

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