Papers
9
Total Citations
77
H-Index
5
About
Ari Santoso’s research career is centered on advancing autonomous service robotics, with a particular focus on safe navigation, obstacle avoidance, and human-robot interaction in indoor environments. His most influential work, “Multiple Moving Obstacles Avoidance of Service Robot using Stereo Vision” (34 citations), established a foundational method for enabling service robots to dynamically navigate around moving people and objects using stereo vision—a critical capability for real-world deployment. Santoso further refined these navigation systems by integrating ultrasonic sensors and developing path planning strategies using Adaptive Neuro-Fuzzy Inference Systems (ANFIS), as seen in his papers on obstacle avoidance and navigation (each garnering 10 citations). Beyond navigation, he contributed to robot vision with an improved face recognition system for service robots. Expanding his expertise, Santoso also explored advanced control systems for mobile inverted pendulum robots, optimizing Type-2 Fuzzy Sliding Mode Controllers (T2FSMC) with Firefly Algorithms to enhance robustness and reduce chattering. His later work extended to quadcopter obstacle avoidance using KNN algorithms, demonstrating a commitment to energy-efficient and precise autonomous flight. With a total of over 75 citations, Santoso’s research provides practical, sensor-driven solutions that bring service robots closer to safe, reliable operation in human-centered spaces.
Research Focus
Key Achievements
Top Papers
- 1Multiple Moving Obstacles Avoidance of Service Robot using Stereo Vision34 citations · 2011
- 2An Improved Face Recognition System for Service Robot Using Stereo Vision10 citations · 2011
- 3A New Obstacle Avoidance Method for Service Robots in Indoor Environments10 citations · 2012
- 4A Method for Path Planning Strategy and Navigation of Service Robot6 citations · 2011
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