Dae-Hyung Park
Papers
2
Total Citations
542
H-Index
2
About
Dae-Hyung Park is a leading researcher in biologically-inspired robotics, with a primary focus on movement generation, dynamical systems, and human-robot interaction. His most influential work centers on advancing the Dynamic Movement Primitive (DMP) framework, a foundational approach for generating robust, adaptable robot trajectories. Park’s major contributions include developing an improved DMP formulation that enables automatic, real-time goal adaptation and seamless obstacle avoidance without singularities—a critical enhancement for compliant robots operating in dynamic human environments. His 2009 paper on this topic has garnered 282 citations, while his 2008 work on integrating DMPs with potential fields for movement reproduction and obstacle avoidance has received 260 citations. These highly cited studies demonstrate his profound impact on the field, providing a general framework for mid-flight trajectory adaptation to unexpected obstacles. By bridging biological inspiration with practical engineering, Park’s research has enabled robots to move more naturally and safely alongside humans, making him a key figure in the development of compliant, adaptive robotic systems. His work remains essential reading for students and researchers in robotics, control systems, and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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