Complex Dynamics at the Intersection of Computer Algorithms and Robotic Function

Abstract

Background: The merging of computer science and robotic technology creates a synergistic environment where advances are changing healthcare, manufacturing, and service industries. Although some publications have shown their successes, complete research on the fusion and interface of computer science algorithms and robotic tasks is still needed. Objective: Combining computer science with robotics improves cooperation and integration. It also illustrates how linking these technologies might boost robotic entities' computational and operational capacities, making them more valuable and versatile. Methods: This mixed-methods research uses quantitative data from technical and computational performance metrics and qualitative insights from expert interviews and sector case studies. A critical study examines practical applications, issues of computer science and robotics. Results: Advanced computer algorithms may enhance robotic technologies by increasing autonomous decision-making, sensorimotor functions, and machine learning. However, the inquiry finds significant obstacles, notably in security, and implementation of these developments. Conclusion: The merger of computer science and robotic technology signals new possibilities and advancements, enabling the production of intelligent, adaptable, and autonomous robots. Combining these fields may improve robotic capabilities, but security, and practical application issues must be addressed to ensure sustainable and responsible technological growth.

Keywords

• computer science (cs)
• robotic technology (rt)
• artificial intelligence (ai)
• 4. machine learning (ml)
• sensorimotor functionalities
• autonomous decision-making (adm)
• technological advancements
• computational algorithms
• cybersecurity