Chakravarthi Jada

Rajiv Gandhi University of Knowledge Technologies

Papers

Total Citations

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About

Chakravarthi Jada is a robotics researcher focused on autonomous navigation, machine learning, and bio-inspired swarm intelligence. His work bridges practical robotics and nature-inspired algorithms, with key contributions in road detection for unstructured environments and multi-robot coordination. His most cited paper, "ROBOG an autonomously navigating vehicle based on road detection for unstructured road" (2015, 6 citations), presents a real-time system for autonomous navigation in off-road conditions, addressing a critical challenge in field robotics. Building on this, "ROBOG: Robo guide with simple learning strategy" (2014, 4 citations) integrates an Artificial Neural Network for decision-making, enabling a robot to learn and navigate known terrains. Jada’s innovative application of biological metaphors is evident in "BflyBot: Mobile robotic platform for implementing Butterfly mating phenomenon" (2018, 4 citations) and "Butterfly Inspired Multi-robotic Swarm for Signal Source Localization" (2017, 3 citations), where he adapts butterfly mating optimization for swarm robotics. These works demonstrate his ability to translate complex natural behaviors into functional robotic systems. Though his citation counts are modest, Jada’s research offers foundational ideas for autonomous ground vehicles and swarm intelligence, making him a notable contributor to the intersection of robotics and biomimicry.