Experimental Studies in High-Complexity Robotic Systems: Design and Implementation

Saideep Nakka; Dr. Sandeep Kumar

doi:10.36676/urr.v12.i1.1465

Authors

Saideep Nakka University of North Texas Denton, TX 76205, United States
Dr. Sandeep Kumar Tula's institute Dehradun Uttarakhand India

DOI:

https://doi.org/10.36676/urr.v12.i1.1465

Keywords:

High-Complexity Robotics, Experimental Studies, System Design, Implementation, Control Algorithms, Modular Architecture, Sensor Fusion, Adaptive Feedback, Real-Time Testing, Interdisciplinary Integration

Abstract

Experimental Studies in High-Complexity Robotic Systems: Design and Implementation addresses the challenges and breakthroughs in developing advanced robotic platforms. This research investigates the integration of innovative design methodologies, robust control algorithms, and cutting-edge hardware architectures to build systems capable of operating reliably in unpredictable environments. A comprehensive experimental framework is employed, combining simulation trials with real-world testing to evaluate system performance across various metrics including precision, adaptability, energy efficiency, and scalability. The study examines the effects of modular design approaches and adaptive feedback mechanisms on enhancing the operational capabilities of high-complexity robotics.

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