Moch. Iskandar Riansyah
Bandung Institute of Technology, Sepuluh Nopember Institute of Technology
Papers
4
Total Citations
12
H-Index
2
About
Moch. Iskandar Riansyah is a robotics researcher specializing in autonomous systems, multi-robot collaboration, and 3D perception. His work bridges simulation and real-world deployment, with a focus on integrating unmanned aerial vehicles (UAVs) and mobile robots for cooperative missions. In his most-cited paper, "Autonomous Tracking of Hexacopter on Moving Mobile Robot Using Gazebo ROS Simulation" (6 citations), he demonstrated a hexacopter UAV tracking a moving UGV using Gazebo and Robot Operating System (ROS), establishing a foundation for collaborative robot teams. His recent work on "Modified CNN VoxNet Based Depthwise Separable Convolution for Voxel-Driven Body Orientation Classification" (2024, 2 citations) advances 3D object recognition from LiDAR point clouds, enabling human body orientation prediction for applications in human-robot interaction. Riansyah also contributed to practical localization systems for delivery service robots, combining rotary encoders and IMU with ROS for indoor navigation. His simulation work on 3D mapping with hexacopters using Gazebo and ArduPilot SITL further showcases his expertise in creating flexible, open-source robotic systems. With a research portfolio spanning autonomous tracking, sensor fusion, and deep learning for 3D data, Riansyah is advancing the capabilities of intelligent, cooperative robots in dynamic environments.
Research Focus
Key Achievements
Top Papers
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