Sasank Vegesana

North Carolina Agricultural and Technical State University

Papers

Total Citations

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About

Sasank Vegesana is a rising researcher at the forefront of autonomous robotics, with a focused expertise in multi-sensor fusion and intelligent navigation systems. His work masterfully integrates advanced computational hardware, such as the NVIDIA Jetson Xavier NX, with sophisticated sensor arrays to solve critical challenges in indoor autonomous navigation. Vegesana’s key contributions include the design of a multi-sensor system that fuses visual data from cameras with dynamic data from Inertial Measurement Units (IMUs), enhanced by PID-based path correction algorithms. This approach enables precise lane following and robust environmental perception, pushing the boundaries of how robots interpret and move through complex indoor spaces. His most cited paper (5 citations) lays the foundational framework for this integrated system, while a subsequent publication (4 citations) demonstrates its practical application in real-time autonomous control. Though early in his career, Vegesana’s work represents a significant leap forward in creating more reliable, computationally efficient robots for indoor environments, promising impactful advancements in logistics, service robotics, and smart infrastructure.