Papers
13
Total Citations
66
H-Index
5
About
Handy Wicaksono is a robotics researcher whose work centers on autonomous navigation, behavior-based control, and robot learning. His major contributions lie in developing hybrid systems that combine fuzzy logic, Q-learning, and behavior coordination to enable mobile robots to navigate cluttered, unknown environments. His most cited paper (13 citations) demonstrates how subsumption architecture and learning mechanisms improve a physical robot’s performance under uncertainty. Another influential work (11 citations) proposes a fuzzy Q-learning hybridization that allows robots to autonomously navigate without knowing target positions. Wicaksono’s research extends to legged robots, including hexapods and a five-legged robot inspired by sea stars, as well as tool use learning and creation—exploring how robots can autonomously learn to use or even 3D-print novel tools. More recently, he has applied his expertise to eldercare, developing a system that uses robots and pose detection to monitor seniors’ safety. With over 60 citations across his publications, Wicaksono’s work bridges foundational robotics theory and practical applications, making him a notable figure in autonomous navigation and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1Q learning behavior on autonomous navigation of physical robot13 citations · 2011
- 2Hybridization of fuzzy Q-learning and behavior-based control for autonomous mobile robot navigation in cluttered environment11 citations · 2009
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- 5The robot engineer5 citations · 2015
- 6Tool Use Learning for a Real Robot4 citations · 2018
- 7Perancangan Sistem Navigasi Otonom pada Behavior Based Hexapod Robot4 citations · 2010
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- 10Towards A Relational Approach For Tool Creation By Robots2 citations · 2017