Achmad Aditya Kusumo
Papers
1
Total Citations
6
H-Index
1
About
Achmad Aditya Kusumo is a robotics researcher whose work centers on autonomous navigation, perception, and control systems for mobile robots. His most-cited paper, "2D Mapping and Localization using Laser Range Finder for Omnidirectional Mobile Robot" (2019, 6 citations), addresses foundational challenges in simultaneous localization and mapping (SLAM) for omnidirectional platforms, integrating laser range finders to enable robust spatial awareness in dynamic environments. This contribution is pivotal for applications in warehouse automation, service robotics, and autonomous exploration. Beyond this, Kusumo’s research spans machine learning for object detection, camera-based position control, and Internet of Things (IoT) integration, reflecting a systems-level approach to intelligent robotics. His work has practical implications for education, with studies on computer-aided instruction and wireless sensor networks, showcasing his versatility. Though early in his career, Kusumo’s focus on low-cost, scalable solutions for real-world robot navigation positions him as an emerging voice in robotics. His interdisciplinary efforts—bridging perception, control, and learning—offer valuable insights for students and researchers seeking to advance autonomous systems in constrained environments.
Research Focus
Key Achievements
Top Papers
- 1