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About

Anhar Risnumawan is a robotics researcher whose work bridges agriculture, disaster response, and autonomous systems. His most cited paper, "End-to-end coconut harvesting robot" (29 citations), addresses Indonesia's critical role in global coconut production by developing a robotic solution for harvesting—a practical contribution to agricultural automation. In post-disaster scenarios, his "Implementation of Victims Detection Framework on Post Disaster Scenario" (25 citations) leverages computer vision to accelerate search-and-rescue operations in earthquake-prone Indonesia, demonstrating socially impactful robotics. Risnumawan also advances military and industrial automation: his "Deep multilayer network for automatic targeting system of gun turret" (19 citations) and "Visual servoing line following robot" (17 citations) apply deep learning and camera-based navigation to autonomous targeting and self-driving vehicles. His work on the EROS humanoid robot soccer platform (7 citations) contributes to RoboCup's vision systems, improving ball and field detection under reduced color-coding rules. With additional projects on aerial drone mapping for agricultural ground robots and magnetic-vision fusion for forklift AGVs, Risnumawan's research consistently targets real-world challenges—from harvesting coconuts to navigating warehouses—using computer vision and robotics. His cumulative work reflects a commitment to deploying intelligent systems in Indonesia's unique agricultural, industrial, and disaster contexts.