Panagadan Anand

Papers

Total Citations

H-Index

About

Panagadan Anand is a researcher focused on advancing automation and robotics through accessible, low-cost technologies. His key contributions center on real-time obstacle avoidance for mobile robots, a critical challenge in autonomous navigation. In his most-cited work, "Low-cost, real-time obstacle avoidance for mobile robots" (2017), Anand demonstrated how recently-released, affordable sensors and microprocessors can be harnessed to build systems capable of depth perception and dynamic path planning. This approach significantly lowers the barrier to entry for robotics research and development, making sophisticated navigation capabilities available to a wider range of engineers and institutions. With 4 citations, this paper has informed subsequent work in cost-effective autonomous systems. Anand’s research bridges the gap between high-performance robotics and practical, deployable solutions, emphasizing real-time responsiveness without prohibitive hardware costs. His work is particularly valuable for students and researchers seeking to implement robust obstacle avoidance in educational platforms, prototyping, or field applications where budget constraints are a primary concern.