Hasvienda M. Ridlwan
Papers
2
Total Citations
8
H-Index
2
About
Hasvienda M. Ridlwan is a researcher in robotics and autonomous systems, with a focus on unmanned aerial vehicles (UAVs) and multi-robot collaboration. His work centers on developing simulation frameworks for cooperative robotic missions, particularly involving hexacopter drones and mobile ground robots. In his highly cited 2017 paper, "Autonomous Tracking of Hexacopter on Moving Mobile Robot Using Gazebo ROS Simulation" (6 citations), Ridlwan demonstrated a novel approach to UAV-UGV collaboration by enabling a hexacopter to autonomously track a moving mobile robot using Gazebo and Robot Operating System (ROS). This work provides a foundation for real-world applications in search-and-rescue, surveillance, and industrial inspection. His related paper, "3D Mapping Hexacopter Simulation using Gazebo and Robot Operating System (ROS)" (2 citations), extends this capability to environmental mapping, integrating ArduPilot's Software in the Loop (SITL) for realistic simulation. Ridlwan’s contributions are notable for advancing accessible, open-source simulation tools that allow researchers to test complex multi-agent coordination without physical hardware. His work underscores the growing importance of ROS and Gazebo in prototyping autonomous systems, making him a key figure in the development of scalable, cooperative robotics solutions.
Research Focus
Key Achievements
Top Papers
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