Adam Maulana Dzikri
Papers
1
Total Citations
3
H-Index
1
About
Adam Maulana Dzikri is a robotics researcher whose work centers on autonomous humanoid locomotion and vision-based localization, particularly for competitive soccer-playing robots. His most cited paper, "Self Localization Based On Neighborhood Probability Mapping for Humanoid Robot" (2020, 3 citations), addresses a core challenge in the RoboCup Humanoid League: enabling a robot with a single camera and balancing sensors to accurately determine its position on a field. Dzikri’s key contribution lies in developing a probabilistic mapping method that allows a humanoid to localize itself despite limited sensory input, a critical step for tasks like ball tracking and coordinated team play. This work directly supports the technical demands of autonomous soccer, including running while searching for the ball. While his citation count is modest, Dzikri’s research is notable for its practical application in real-world robotics competitions, where robust self-localization is essential. His achievements highlight the intersection of computer vision, sensor fusion, and control systems, offering valuable insights for students and researchers working on autonomous mobile robots in dynamic, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1