Research Background: Mongolia's high-altitude regions have an average elevation exceeding 1,500 meters, with some areas reaching over 3,000 meters. The unique geographical conditions (hypoxia, low temperatures, strong winds, etc.) may significantly impact the performance of medical robotic systems. As a core device in minimally invasive surgery, the stability of the da Vinci Surgical System's robotic arm driving force is critical to surgical safety and precision. However, systematic research on driving force attenuation in robotic arms under high-altitude conditions remains scarce. This study reviews existing literature and designs virtual experiments to investigate the influence mechanisms of Mongolia's high-altitude environment on the driving force of the da Vinci robotic arm, providing a theoretical basis for optimizing surgical robots in such regions. Research Methods: A multidimensional analytical approach was adopted: Literature Review; Integration of global empirical studies on the effects of altitude on electromechanical systems, focusing on motor efficiency, hydraulic stability, and material deformation. Simulated Environment Design; A controlled climate chamber was used to replicate Mongolia’s high-altitude conditions (2,500–3,500 m, O₂ concentration 15%–18%, temperature −10°C to 5°C), experimental Design for Comparing Robotic Arm Driving Force Output in Standard vs Simulated High-Altitude Environments. Data Modeling; A predictive model for driving force attenuation was developed based on fluid dynamics and motor thermodynamics, alongside potential mitigation strategies. Research Findings: Significant Driving Force Attenuation: Elevated altitudes in Mongolia are associated with diminished peak driving force, while temperatures below −5°C further increase hydraulic oil viscosity, leading to greater response latency. Key Factors: The primary contributing factors include decreased motor heat dissipation efficiency (with an 8% reduction in thermal rise rate per 1,000 m altitude gain) and pressure-induced lubrication deterioration. Nonlinear Relationship: Driving force attenuation exhibits an exponential correlation with altitude, yet the influence of subzero temperatures becomes predominant beyond 2,500 m. Conclusions: Mongolia’s high-altitude environment markedly impairs the da Vinci robotic arm’s driving force due to compounded factors: thermal management failure, hydraulic inefficiency, and material rigidity changes. Design optimizations are recommended, including low-temperature lubricants, enhanced motor cooling, and adaptive control algorithms. Future studies should validate these interventions through field tests to ensure surgical robotic reliability in high-altitude settings. Experimental results will address challenges in deploying the da Vinci system in such regions.
| Published in | American Journal of Aerospace Engineering (Volume 11, Issue 2) |
| DOI | 10.11648/j.ajae.20251102.12 |
| Page(s) | 29-35 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Mongolia, High-altitude Regions, Da Vinci Surgical System, Robotic Arm, Driving Force Attenuation, Mechanistic Modeling
| [1] | Tamas H, Stefanie S, Danail S, Richard M S, et al. Robot-Assisted Minimally Invasive Surgery - Surgical Robotics in the Data Age [J], Proceedings of the IEEE, 2022, 110(7): 835-846. |
| [2] | Li, Mutong. Analysis of the Track System in Bumpy Unstructured Hard Road Environment by Vibration Test, International Journal of Agricultural and Biological Engineering 15.4 (2022): 163-171. |
| [3] | Cherry B, Kumar SP, Mohan S, et al. Review of health prognostics and condition monitoring of electronic components. IEEE Access. 2020; 8: 75163-75183. |
| [4] | Shin, Won. AI-assistance for Predictive Maintenance of Renewable Energy Systems, Energy (Oxford, England) 221 (2021). |
| [5] | Hunter, Olivia F. Science fiction or clinical reality: a review of the applications of artificial intelligence along the continuum of trauma care, World Journal of Emergency Surgery 18.1 (2023): 16. |
| [6] | Occhipinti, Annalis. Mechanism-aware and Multimodal AI: Beyond Model-Agnostic Interpretation., Trends in Cell Biology 34.2 (2023): 85-89. |
| [7] | Zhang, Xiaotian. Artificial Intelligence Technique-Based EV Powertrain Condition Monitoring and Fault Diagnosis: A Review, IEEE sensors journal 23.15 (2023): 16481-16500. |
| [8] | Wang, Peng. Impact of Air Pressure Variations on Electrical Vehicle Motor Insulation, High Voltage 8.5 (2023): 1011-1019. |
| [9] | Schroeter, Jonas. Influence of Pressure Losses on Compressor Performance in a Pressurized Fuel Cell Air Supply System for Airplane Applications, International journal of hydrogen energy 46.40 (2021): 21151-21159. |
| [10] | Novotny, P. Explanation of the Mechanisms of Unsteady Gas Flow Through the Turbocharger Seal System, Including Thermal and Structural Interactions, Propulsion and Power Research 12.2 (2023): 180-198. |
| [11] | Li, Jin. Storage, Fatigue and Low Temperature Characteristics of Plasma Treated Rubberized Binders, Construction and building materials 209 (2019): 454-462. |
| [12] | Liu, Xue. Experimental and Numerical Simulation Investigations of an Axial Flow Fan Performance in High-Altitude Environments, Energy (Oxford, England) 234 (2021): 121281-121281. |
| [13] | Hu, Yazhou. Reinforcement Learning Tracking Control for Robotic Manipulator with Kernel-Based Dynamic Model, IEEE Transactions on Neural Networks and Learning Systems 31.9 (2019): 3570-3578. |
| [14] | Cao, Shengjie. Reinforcement Learning-Based Fixed-Time Trajectory Tracking Control for Uncertain Robotic Manipulators with Input Saturation., IEEE Transactions on Neural Networks and Learning Systems 34.8 (2021): 4584-4595. |
| [15] | Qiao, Dongsheng. Realtime Prediction of Dynamic Mooring Lines Responses with LSTM Neural Network Model, Ocean Engineering 219 (2020): 108368-108368. |
| [16] | Pooladvand, Shiva. Evaluating Mobile Crane Lift Operations Using an Interactive Virtual Reality System, Journal of construction engineering and management 147.11 (2021). |
| [17] | Delmerico, Jeffrey. The Current State and Future Outlook of Rescue Robotics, Journal of field robotics 36.7 (2019): 1171-1191. |
| [18] | Zheng, P. Thermal Analysis of Permanent Magnet Synchronous Motors for High-Altitude Applications. IEEE Transactions on Industrial Electronics, (2018, 65(8), 6296-6305. |
| [19] | Wang, L. Impact of High-Altitude Operation on Wind Turbine Generators. Renewable Energy, (2017), 105, 234-242. |
| [20] | Hershkovitz, M.. Effect of Low Pressure on Grease Lubrication in Aerospace Applications. Tribology International, (2015), 82, 343-349. |
| [21] | Andersen, T. O. The Influence of Oil Viscosity on the Dynamic Response of Hydraulic Valves. Journal of Dynamic Systems, Measurement, and Control, 2015, 137(3), 034501. |
| [22] | Wang, H. Modeling of Hydraulic Valve Response Delay under Combined Low-Temperature and Low-Pressure Conditions. Energy, 2021, 215, 119153. |
| [23] | Bhateja SK, Andrews EH, Yarbrough SM. Effects of temperature on the mechanical properties of nitrile rubber. J Appl Polym Sci. 1989; 37(10): 3061-3076. |
| [24] | Jia X. Dynamic degradation of sealing force in hydraulic actuators under low-temperature cycling. Mech Syst Signal Process. 2020; 135: 106438. |
| [25] | Wang H, Li Z, Zhang Q. Compound degradation of hydraulic systems under extreme environmental conditions. J Mech Eng. 2021; 57(14): 102-112. |
| [26] | Zhang J. Dynamic response degradation of hydraulic valves in plateau cold environments. IEEE/ASME Trans Mechatron. 2022; 27(1): 432-441. |
| [27] | Zhang Y. Active thermal management of hydraulic systems in extreme cold environments. J Dyn Syst Meas Control. 2020; 142(6): 061005. |
| [28] | Jones WR, Jansen MJ. Tribology of perfluoropolyether (PFPE) lubricants in aerospace applications. Tribol Lett. 2018; 66(1): 24. |
| [29] | Krause PC, Wasynczuk O, Sudhoff SD. Analysis of Electric Machinery and Drive Systems. 2nd ed. Piscataway, NJ: IEEE Press; 2013: Chap 4. |
| [30] | Zhou Y. Unified attenuation model for electromechanical systems in variable-altitude environments. J Dyn Syst Meas Control. 2018; 140(5): 051013. |
| [31] | Jones WP, Smith RJ, Brown AL. Thermal degradation effects on mechanical performance of polymeric actuators: A linear attenuation model. J Appl Phys. 2015; 118(14): 144901. |
| [32] | Liu X, Li Z, Zhou Y, et al. Adaptive control of robotic manipulators in extreme environments: Integrating altitude and thermal effects. Mechatronics. 2020; 67: 102348. |
| [33] | Martinez S, Garcia E, Fernandez R, et al. Mars Rover Traversal Mechanics: Coupling Environmental and Dynamic Loads. J Terramech. 2023; 105: 101-112. |
| [34] | Liu X, Li Z, Zhou Y, et al. High-Altitude Performance Degradation of Harmonic Drive Systems: A Multiphysics Approach. Mech Mach Theory. 2021; 156: 104182. |
| [35] | Martinez S, Garcia E, Fernandez R, et al. Temperature-Pressure Coupling Effects on Servo Motor Torque: Experimental Characterization and Modeling. IEEE Trans Ind Electron. 2020; 67(8): 6821-6831. |
| [36] | Zhang Y, Li X, Wang H, et al. Performance Degradation of Surgical Robots in High-Altitude Environments: A Case Study in Mongolia. IEEE Trans Med Robot Bionics. 2023; 5(2): 345-357. |
| [37] | International Organization for Standardization. ISO 2533: 1975. Standard Atmosphere. Geneva: ISO; 1975. |
| [38] | Liu C, Zhou Y, Chen R, et al. Thermal Runaway in Permanent Magnet Motors Under High-Altitude Conditions. IEEE Trans Energy Convers. 2022; 37(3): 1892-1901. |
| [39] | Jia X, Li J, Sun Y. Low-Temperature Rheology of Hydraulic Oils and Valve Response Delay. Tribol Int. 2017; 106: 11-19. |
| [40] | Totten GE. Handbook of Hydraulic Fluid Technology. 3rd ed. Boca Raton: CRC Press; 2022: Chap 12. |
| [41] | Wang L. Low-Temperature Mechanical Properties of Aluminum Alloys for Robotic Joints. Mater Sci Eng A. 2021; 802: 140643. |
| [42] | Nikas GK. Elastomeric Seals in Fluid Power Systems. 2nd ed. Boca Raton: CRC Press; 2018: Chap 6. |
| [43] | Jones WR, Jansen MJ. Tribology of PFPE Lubricants in Extreme Environments. Tribol Lett. 2018; 66(1): 24. |
| [44] | Bosch Rexroth AG. Technical Manual: Cold-Start Solutions for Hydraulic Systems. 2021. |
| [45] | Kim S, Park D, Lee H. Graphene-Enhanced Thermal Management for High-Altitude Motors. Appl Therm Eng. 2022; 201: 117793. |
| [46] | Intuitive Surgical Inc. Adaptive Thermal Control Algorithm for da Vinci Xi. 2023. |
| [47] | Raymon van Dinter, Bedir Tekinerdogan, Cagatay Catal. Predictive Maintenance for Surgical Robots Using Digital Twins. Robot Comput Integr Manuf. 2023; 81: 102517. |
APA Style
Liu, C., Baasanjav, B., Hai, H., Nachin, B. (2025). Research on the Mechanism of Drive Force Attenuation in the Robotic Arms of the Da Vinci Surgical System at High Altitudes in Mongolia. American Journal of Aerospace Engineering, 11(2), 29-35. https://doi.org/10.11648/j.ajae.20251102.12
ACS Style
Liu, C.; Baasanjav, B.; Hai, H.; Nachin, B. Research on the Mechanism of Drive Force Attenuation in the Robotic Arms of the Da Vinci Surgical System at High Altitudes in Mongolia. Am. J. Aerosp. Eng. 2025, 11(2), 29-35. doi: 10.11648/j.ajae.20251102.12
@article{10.11648/j.ajae.20251102.12,
author = {Chao Liu and Batbold Baasanjav and Hongxing Hai and Baasanjav Nachin},
title = {Research on the Mechanism of Drive Force Attenuation in the Robotic Arms of the Da Vinci Surgical System at High Altitudes in Mongolia},
journal = {American Journal of Aerospace Engineering},
volume = {11},
number = {2},
pages = {29-35},
doi = {10.11648/j.ajae.20251102.12},
url = {https://doi.org/10.11648/j.ajae.20251102.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajae.20251102.12},
abstract = {Research Background: Mongolia's high-altitude regions have an average elevation exceeding 1,500 meters, with some areas reaching over 3,000 meters. The unique geographical conditions (hypoxia, low temperatures, strong winds, etc.) may significantly impact the performance of medical robotic systems. As a core device in minimally invasive surgery, the stability of the da Vinci Surgical System's robotic arm driving force is critical to surgical safety and precision. However, systematic research on driving force attenuation in robotic arms under high-altitude conditions remains scarce. This study reviews existing literature and designs virtual experiments to investigate the influence mechanisms of Mongolia's high-altitude environment on the driving force of the da Vinci robotic arm, providing a theoretical basis for optimizing surgical robots in such regions. Research Methods: A multidimensional analytical approach was adopted: Literature Review; Integration of global empirical studies on the effects of altitude on electromechanical systems, focusing on motor efficiency, hydraulic stability, and material deformation. Simulated Environment Design; A controlled climate chamber was used to replicate Mongolia’s high-altitude conditions (2,500–3,500 m, O₂ concentration 15%–18%, temperature −10°C to 5°C), experimental Design for Comparing Robotic Arm Driving Force Output in Standard vs Simulated High-Altitude Environments. Data Modeling; A predictive model for driving force attenuation was developed based on fluid dynamics and motor thermodynamics, alongside potential mitigation strategies. Research Findings: Significant Driving Force Attenuation: Elevated altitudes in Mongolia are associated with diminished peak driving force, while temperatures below −5°C further increase hydraulic oil viscosity, leading to greater response latency. Key Factors: The primary contributing factors include decreased motor heat dissipation efficiency (with an 8% reduction in thermal rise rate per 1,000 m altitude gain) and pressure-induced lubrication deterioration. Nonlinear Relationship: Driving force attenuation exhibits an exponential correlation with altitude, yet the influence of subzero temperatures becomes predominant beyond 2,500 m. Conclusions: Mongolia’s high-altitude environment markedly impairs the da Vinci robotic arm’s driving force due to compounded factors: thermal management failure, hydraulic inefficiency, and material rigidity changes. Design optimizations are recommended, including low-temperature lubricants, enhanced motor cooling, and adaptive control algorithms. Future studies should validate these interventions through field tests to ensure surgical robotic reliability in high-altitude settings. Experimental results will address challenges in deploying the da Vinci system in such regions.},
year = {2025}
}
TY - JOUR T1 - Research on the Mechanism of Drive Force Attenuation in the Robotic Arms of the Da Vinci Surgical System at High Altitudes in Mongolia AU - Chao Liu AU - Batbold Baasanjav AU - Hongxing Hai AU - Baasanjav Nachin Y1 - 2025/10/31 PY - 2025 N1 - https://doi.org/10.11648/j.ajae.20251102.12 DO - 10.11648/j.ajae.20251102.12 T2 - American Journal of Aerospace Engineering JF - American Journal of Aerospace Engineering JO - American Journal of Aerospace Engineering SP - 29 EP - 35 PB - Science Publishing Group SN - 2376-4821 UR - https://doi.org/10.11648/j.ajae.20251102.12 AB - Research Background: Mongolia's high-altitude regions have an average elevation exceeding 1,500 meters, with some areas reaching over 3,000 meters. The unique geographical conditions (hypoxia, low temperatures, strong winds, etc.) may significantly impact the performance of medical robotic systems. As a core device in minimally invasive surgery, the stability of the da Vinci Surgical System's robotic arm driving force is critical to surgical safety and precision. However, systematic research on driving force attenuation in robotic arms under high-altitude conditions remains scarce. This study reviews existing literature and designs virtual experiments to investigate the influence mechanisms of Mongolia's high-altitude environment on the driving force of the da Vinci robotic arm, providing a theoretical basis for optimizing surgical robots in such regions. Research Methods: A multidimensional analytical approach was adopted: Literature Review; Integration of global empirical studies on the effects of altitude on electromechanical systems, focusing on motor efficiency, hydraulic stability, and material deformation. Simulated Environment Design; A controlled climate chamber was used to replicate Mongolia’s high-altitude conditions (2,500–3,500 m, O₂ concentration 15%–18%, temperature −10°C to 5°C), experimental Design for Comparing Robotic Arm Driving Force Output in Standard vs Simulated High-Altitude Environments. Data Modeling; A predictive model for driving force attenuation was developed based on fluid dynamics and motor thermodynamics, alongside potential mitigation strategies. Research Findings: Significant Driving Force Attenuation: Elevated altitudes in Mongolia are associated with diminished peak driving force, while temperatures below −5°C further increase hydraulic oil viscosity, leading to greater response latency. Key Factors: The primary contributing factors include decreased motor heat dissipation efficiency (with an 8% reduction in thermal rise rate per 1,000 m altitude gain) and pressure-induced lubrication deterioration. Nonlinear Relationship: Driving force attenuation exhibits an exponential correlation with altitude, yet the influence of subzero temperatures becomes predominant beyond 2,500 m. Conclusions: Mongolia’s high-altitude environment markedly impairs the da Vinci robotic arm’s driving force due to compounded factors: thermal management failure, hydraulic inefficiency, and material rigidity changes. Design optimizations are recommended, including low-temperature lubricants, enhanced motor cooling, and adaptive control algorithms. Future studies should validate these interventions through field tests to ensure surgical robotic reliability in high-altitude settings. Experimental results will address challenges in deploying the da Vinci system in such regions. VL - 11 IS - 2 ER -