Oddy Virgantara Putra
Papers
2
Total Citations
18
H-Index
2
About
Oddy Virgantara Putra is a researcher at the forefront of embedded systems, robotics, and applied artificial intelligence, with a particular focus on the Internet of Things (IoT) and 3D computer vision. His work bridges the gap between hardware automation and intelligent data interpretation. In his highly cited 2021 paper, he designed an automatic lawnmower robot controlled via an ESP32-CAM module, demonstrating a practical, IoT-driven solution for automating routine tasks—a project that has garnered 16 citations for its accessible yet innovative approach to robotics. More recently, Putra has advanced the field of 3D object recognition with his 2024 work on a modified CNN VoxNet architecture. By integrating depthwise separable convolution for voxel-driven body orientation classification, he has improved the efficiency and accuracy of interpreting point cloud data from LiDAR sensors. This contribution is critical for applications in autonomous navigation, human-robot interaction, and surveillance. With a growing citation footprint, Putra’s research exemplifies how combining low-cost IoT hardware with sophisticated deep learning models can yield impactful, real-world solutions.
Research Focus
Key Achievements
Top Papers
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- 2