Papers
7
Total Citations
25
H-Index
3
About
Mahfud Jiono is a robotics researcher whose work spans autonomous mobile robots, humanoid robotics, and industrial manipulation. His research focuses on enabling robots to perceive, navigate, and interact with their environments more intelligently. Jiono’s most cited work, “An Implementation of Multi-object Tracking Using Omnidirectional Camera for Trash Picking Robot” (8 citations), addresses waste management through robotic vision and tracking. He has made notable contributions to robot localization and control, including a self-localization method using neighborhood probability mapping for humanoid soccer robots and a stabilized controller for two-wheeled self-balancing robots. In 2023, Jiono explored autonomous mobile robots for military applications, developing a software framework on Isaac Sim and ROS. His recent work on 6-DoF pose estimation using an end-to-end neural network with BP-n-P (2024) represents a significant advance in single-shot object detection and pose estimation from RGB images. He has also developed compliant control strategies using force sensors for safer human-robot collaboration in industrial settings. With a growing portfolio of research on online motion planning and simulation-based navigation, Jiono continues to push the boundaries of autonomous systems, demonstrating impact across service robotics, industrial automation, and competitive robotics platforms.
Research Focus
Key Achievements
Top Papers
- 1
- 2Software Framework of Autonomous Mobile Robots on Isaac Sim and ROS4 citations · 2023
- 3
- 4Stabilized controller of a two wheels robot3 citations · 2020
- 5
- 6Compliant Control using Force Sensor for Industrial Robot2 citations · 2024
- 7Online Motion Planning For Mobile Robot2 citations · 2019