SeungJae Park

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About

SeungJae Park is a robotics researcher whose work focuses on the fundamental challenge of robotic manipulation, particularly in unstructured and cluttered environments. His key research areas include autonomous grasping, object recognition, and sensorimotor control for robotic systems. Park’s most notable contribution, “Model-Based Grasping of Unknown Objects from a Random Pile” (2019, 10 citations), addresses a critical bottleneck in real-world robotics: reliably grasping objects when they are piled together, occluding one another, and offering limited feasible grasps. Rather than relying on complex models or extensive training data, Park proposed a simple yet effective approach that enables a robot to grasp unknown objects directly from a random pile—a task that remains difficult even for advanced systems. This work has been influential in the field of robotic manipulation, providing a practical baseline for researchers tackling similar problems. Park’s research bridges the gap between theoretical planning and physical interaction, making strides toward robots that can operate autonomously in warehouses, homes, and industrial settings. His contributions are especially valuable for students and engineers seeking robust, real-world solutions to the perennial challenge of robotic grasping.