Anandu Rajendraprasad

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About

Anandu Rajendraprasad is a robotics researcher whose work bridges simulation, control, and real-world deployment, with a particular focus on autonomous navigation and disaster response. His most cited work, "Comparison of Planned Path and Travelled Path Using ROS Navigation Stack" (2020, 35 citations), provides critical insights into the fidelity of path planning in ROS-Gazebo environments, revealing discrepancies between theoretical paths and actual robot trajectories—a foundational contribution for improving autonomous navigation reliability. He further demonstrated his impact in search-and-rescue robotics through the development of *Paripreksya 2.0* (2022, 20 citations), a robot designed for the World Robot Summit (WRS) 2020 disaster challenge, showcasing how robotic systems can augment human rescue teams by mapping disaster zones and locating victims. Rajendraprasad also advanced robotic manipulation with his work on a six-DOF robotic arm controlled via CAN bus interface (2021), integrating low-level actuator communication with ROS for precise, scalable control. His research, collectively cited over 60 times, exemplifies a hands-on approach to solving real-world robotics challenges—from simulation validation to field-ready rescue platforms—making him a notable contributor to the ROS and disaster robotics communities.