Alvin Teguh Budi Antok

Robotic Research (United States), Universitas Negeri Surabaya

Papers

Total Citations

H-Index

About

Alvin Teguh Budi Antok is a robotics researcher focused on advancing autonomous navigation and locomotion for specialized robotic platforms. His work centers on two key areas: quadruped robot balance control and environmental perception for competition-grade firefighting robots. In his most cited paper, "Quadruped Robot Balance Control For Stair Climbing Based On Fuzzy Logic" (2021, 5 citations), Antok addresses a critical challenge in legged robotics—maintaining stability during dynamic maneuvers like stair climbing. By applying fuzzy logic control, he developed a system that enables quadruped robots to adapt their posture in real time, improving their ability to traverse uneven terrain. His second notable work, "Corner Detection with 2-D RPLIDAR to Detect Furniture on TCIFFRC Tracks" (2020, 2 citations), contributes to the Trinity College International Firefighting Robot Contest (TCIFFRC). Here, Antok engineered a lidar-based corner detection algorithm that allows robots to identify furniture and navigate unpredictable room layouts—a vital skill for autonomous firefighting. Though early in his career, his research bridges practical robotics challenges with real-world competition demands, laying groundwork for more resilient and perceptive autonomous systems.