Bambang Riyanto Trilaksono
Konkuk University Medical Center, Bandung Institute of Technology
Papers
27
Total Citations
207
H-Index
8
About
Bambang Riyanto Trilaksono is a leading figure in autonomous robotics, with his work spanning unmanned aerial vehicles (UAVs), multi-robot systems, and robotic olfaction. His most impactful contribution is the development of complete autonomous UAV systems, notably for payload dropping missions (38 citations), where he integrated critical avionics and power subsystems. He has significantly advanced path planning through a novel hybridization of the Rapidly-Exploring Random Tree (RRT) and Ant Colony System (ACS) algorithms (34 citations), creating a method that balances rapid path generation with optimality. In the domain of perception, Trilaksono has made key contributions to Simultaneous Localization and Mapping (SLAM), including RoomSLAM (13 citations), which innovatively models indoor environments using both semantic objects and structural layout. He has also pioneered the challenging field of gas source localization, integrating Bayesian inference with anemotaxis for autonomous robots in cluttered outdoor environments (13 citations). His work on distributed consensus control for robot swarms (12 citations) and novel particle filter resampling algorithms for robust mobile robot localization further demonstrates his broad impact on the field of autonomous navigation and coordination.
Research Focus
Key Achievements
Top Papers
- 1Autonomous UAV System Development for Payload Dropping Mission38 citations · 2015
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