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Awards & Recognition

Recognition for excellence in robotics, artificial intelligence, and innovative technology solutions across national and international competitions.

Competition Awards

Recognition for excellence in technology competitions and academic achievements

International
3rd Place

Bronze Medalist

Singapore Amazing Flying Machine Competition (SAFMC)

2024
Singapore

International recognition for innovative drone technology and autonomous flight systems. Competed against teams from across Asia-Pacific region.

National
1st Place

1st Place Winner

Indonesian Flying Robot Competition (KRTI) - Flight Controller Category

2023
Indonesia

First place in the flight controller category for developing custom ARM Cortex-M7 based flight control system with advanced autonomy features.

National

Finalist

36th National Student Scientific Week (PIMNAS)

2023
Indonesia

Finalist for UAV-based fire detection system using electronic nose technology and neural networks for environmental monitoring.

National

Finalist

15th National Student Showcase in ICT (GEMASTIK)

2022
Indonesia

Finalist in the national ICT competition for innovative technology solutions and software development excellence.

Regional
3rd Place

3rd Place

Indonesia GenAI Hackathon by Alibaba Cloud - Regional

2022
Indonesia

Third place in regional GenAI hackathon for developing innovative AI-powered solutions using cloud technologies and machine learning.

National

National Semifinalist

National Olympiad in Informatics (OSN)

2021
Indonesia

Semifinalist in the prestigious national informatics olympiad, demonstrating exceptional problem-solving and algorithmic thinking skills.

Research Publications

Academic contributions to the field of robotics and embedded systems

Conference Proceeding
July 2024

Low-Cost Hand Gesture Control for Swarm Quadrotor using Wearable Device in Indoor Environments

National Conference on Robotics and Automation

Muhammad Luthfi H., Aufaclav ZKF, Bilqis HA, Adhiwirya PS, Alfahri RF, Bambang NP

Published research on innovative drone control systems using wearable IMU sensors for intuitive human-machine interaction.