Papers
12
Total Citations
66
H-Index
5
About
Dwi Pebrianti is a robotics and control systems researcher whose work spans autonomous navigation, intelligent control, and fault diagnostics across a diverse range of robotic platforms. With a research portfolio accumulating over 60 citations, Pebrianti has made meaningful contributions to the fields of mobile robotics, computer vision, and advanced control methodologies. Among their most recognized contributions is work on 3D scene reconstruction using stereo vision for robot navigation, which demonstrated how camera calibration and disparity mapping can yield precise spatial coordinates for autonomous systems. Pebrianti has also advanced controller optimization for wheeled mobile robots, applying bio-inspired algorithms such as Particle Swarm Optimization and the Bat Algorithm to fine-tune PID parameters for improved performance. Their research extends to fault detection and isolation in complex nonlinear systems, including quadrotors and two-wheeled robots, enhancing system reliability and safety. More recent work explores pneumatic robotic grasping with prescribed performance impedance control and automated robotic arm welding under Industry 4.0 frameworks. Through human-robot interaction studies utilizing ROS and contributions to underwater systems technology, Pebrianti demonstrates a broad, application-driven approach to solving real-world robotics challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2Study on 3D scene reconstruction in robot navigation using stereo vision12 citations · 2016
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- 5A ROS‐based human‐robot interaction for indoor exploration and mapping5 citations · 2016
- 6Fault detection and isolation for complex system4 citations · 2017
- 7Fault detection and identification in Quadrotor system (Quadrotor robot)4 citations · 2016
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