Hendradi Hardhienata
Papers
10
Total Citations
37
H-Index
4
About
Hendradi Hardhienata is a robotics and computational intelligence researcher whose work centers on autonomous robot systems, multi-robot coordination, and bio-inspired optimization algorithms. His research spans the design and control of wheeled robots, swarm intelligence, and the application of machine learning to autonomous navigation and task allocation problems. Among his most notable contributions is his pioneering work on neural network-based control systems for wheeled robots, where he applied backpropagation algorithms to develop direct inverse controllers capable of guiding autonomous platforms with greater precision — work that has garnered nearly a decade of citations since its 2018 publication. Hardhienata has also made significant advances in multi-robot systems, integrating Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) algorithms to solve complex task allocation and search problems, including real-world agricultural drone coordination. His investigations into indoor localization techniques and cloud-based swarm drone navigation further demonstrate his commitment to translating theoretical frameworks into practical robotics applications. With publications spanning simulation environments, physical robot platforms like E-Puck2, and smart agriculture contexts, Hardhienata's growing body of work — accumulating citations across multiple international publications — reflects an evolving and increasingly influential voice in intelligent robotics research.
Research Focus
Key Achievements
Top Papers
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- 5Kendali Robot Beroda Otonom dengan Inverse Kinematics3 citations · 2020
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