Sabilal Rasyad

About

Sabilal Rasyad is a robotics researcher focused on developing intelligent, socially impactful robotic systems for environmental and disaster-response applications. His core research areas include autonomous waste management, air quality monitoring, and quadruped robot navigation using computer vision. Rasyad’s most cited work, “PENGAPLIKASIAN SENSOR WARNA PADA NAVIGASI LINE TRACKING ROBOT SAMPAH BERBASIS MIKROKONTROLER” (17 citations), introduces a mobile garbage robot that uses color sensors for line tracking, addressing the inefficiency of static waste bins. This concept is extended in his “Wireless Controlling for Garbage Robot (G-Bot)” (2 citations), which offers remote control for user convenience. In “Monitoring Kualitas Udara Menggunakan Robot Sampah” (3 citations), he integrates air quality sensors into waste robots, tackling pollution from vehicle and industrial emissions. His recent work, “Confusion Matrix Using Yolo V3-Tiny on Quadruped Robot Based Raspberry PI 3B+” (3 citations), applies YOLO V3-Tiny object detection for person recognition in quadruped robots, aiming to aid search-and-rescue during natural disasters. Rasyad’s research demonstrates a commitment to practical, human-centered robotics, with cumulative citations reflecting growing interest in his innovative solutions for urban sanitation and emergency response.

Research Focus

Key Achievements

Top Papers

1. 1
   PENGAPLIKASIAN SENSOR WARNA PADA NAVIGASI LINE TRACKING ROBOT SAMPAH BERBASIS MIKROKONTROLER

   17 citations · 2020
2. 2
   Confusion Matrix Using Yolo V3-Tiny on Quadruped Robot Based Raspberry PI 3B +

   3 citations · 2024
3. 3
   MONITORING KUALITAS UDARA MENGGUNAKAN ROBOT SAMPAH

   3 citations · 2020
4. 4
   ROBOT PEMANTAU KUALITAS UDARA BERBASIS ANDROID

   2 citations · 2018
5. 5
   Wireless Controlling for Garbage Robot (G-Bot)

   2 citations · 2021

Key Collaborators

Contact & Links