Sung‐Bae Cho
Papers
27
Total Citations
284
H-Index
9
About
Sung-Bae Cho is a pioneering figure in artificial life, evolutionary computation, and human-robot interaction. His research bridges the gap between biological inspiration and practical robotics, with a focus on creating adaptive, fault-tolerant systems. Cho’s most cited work, “A Comprehensive Overview of the Applications of Artificial Life” (2005, 56 citations), established a foundational framework for using synthetic life to simulate and understand living systems, influencing robot control and manufacturing. He made significant contributions to robust hardware design, as seen in his 2011 paper on automated synthesis of multiple analog circuits for redundancy-based fault-tolerance (25 citations), and advanced context-aware robotics through Bayesian networks, notably in “A Modular Design of Bayesian Networks Using Expert Knowledge: Context-Aware Home Service Robot” (2011, 24 citations). His 2007 work on mixed-initiative human-robot interaction using hierarchical Bayesian networks (24 citations) addressed the challenge of natural language communication, enabling robots to infer user intent from incomplete speech. Cho also explored evolved neural networks and cellular automata for sensory-motor control (2006, 17 citations) and scene recognition (2006, 16 citations). His interdisciplinary approach has shaped the development of intelligent, autonomous systems that learn and adapt in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1A Comprehensive Overview of the Applications of Artificial Life56 citations · 2005
- 2
- 3
- 4
- 5
- 6
- 7A Hierarchical Bayesian Network for Mixed-Initiative Human-Robot Interaction14 citations · 2006
- 8Evolving CAM-Brain to control a mobile robot12 citations · 2000
- 9Inference of other’s internal neural models from active observation10 citations · 2015
- 10Combining Multiple Evolved Analog Circuits for Robust Evolvable Hardware9 citations · 2009