Asneet Sagar

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About

Dr. Asneet Sagar is a robotics researcher whose work focuses on autonomous navigation and intelligent control systems. Their most-cited contribution, the 2017 paper "Maze Solving Robot with Automated Obstacle Avoidance" (33 citations), demonstrates a foundational approach to developing autonomous vehicles capable of navigating complex environments without human intervention. This work addresses the growing demand for smart automation in daily life, proposing efficient algorithms for real-time obstacle detection and path planning. By integrating sensor-based feedback with decision-making logic, Sagar's research contributes to the broader field of mobile robotics, where reliable obstacle avoidance is critical for applications ranging from warehouse logistics to assistive technologies. The paper's citation count reflects its utility as a reference for engineers and students designing low-cost, effective autonomous systems. Sagar's contributions highlight a practical, application-driven methodology, bridging theoretical control principles with tangible robotic implementations. Their work continues to inspire innovations in automated navigation, emphasizing simplicity and robustness in robot design.