C. Senthilpari

Papers

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About

C. Senthilpari is a researcher focused on the intersection of robotics, neural networks, and autonomous systems, with a particular emphasis on intelligent automation and real-world problem-solving. His work explores how machine learning algorithms and embedded processors can enhance robotic capabilities, moving beyond predefined operations toward adaptive, smart systems. One of his notable contributions is the "Development of Smart Number Writing Robotic Arm using Stochastic Gradient Descent Algorithm" (2019, 3 citations), which demonstrates the integration of neural network-based learning into robotic manipulation for manufacturing and automation. He also contributed to the "Development of Autonomous Robot for Tunnel Mapping Using Raspberry-Pi Processor" (2020, 2 citations), a project aimed at improving rescue operations through wireless, self-navigating robots equipped for unknown environments. While his citation counts are modest, Senthilpari’s work reflects a hands-on, application-driven approach to robotics, emphasizing cost-effective solutions using accessible hardware like Raspberry Pi. His research is particularly relevant for students and engineers interested in practical implementations of AI and robotics in automation, mapping, and emergency response.