Sai Charan Dekkata

North Carolina Agricultural and Technical State University

Papers

Total Citations

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About

Sai Charan Dekkata is an emerging researcher specializing in autonomous robotics, unmanned ground vehicles (UGVs), and intelligent control systems. His work sits at the intersection of advanced control theory and real-world robotic applications, with a particular focus on enabling machines to operate safely in environments too dangerous or inaccessible for humans, such as nuclear facilities and chemical plants. Dekkata's most significant contributions center on Model Predictive Control (MPC) for autonomous navigation. His 2022 paper on improved MPC system design for unmanned ground vehicles, his most-cited work with six citations, demonstrated practical advancements in autonomous robot control architecture. Building on this foundation, his 2023 study integrated LiDAR-based sensing with MPC to achieve real-time obstacle detection and avoidance, earning four citations and showcasing his commitment to sensor-driven autonomous decision-making. His broader intellectual curiosity is reflected in a comprehensive review of nature-inspired robotic platforms, including the Boston Dynamics SPOT and the DIGIT robot, which has garnered three citations. Collectively, Dekkata's research contributes meaningfully to the growing field of autonomous systems, offering solutions with compelling implications for search and rescue, hazardous environment operations, and next-generation robotic design.