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Years Active: 2019-2024
Title: Innovations of Jun Jeong in Robotic Gripping Technology
Introduction
Jun Jeong is an accomplished inventor based in San Francisco, CA, with a remarkable portfolio of eight patents. His work primarily focuses on advancements in robotic gripping systems, showcasing his expertise in dynamic collision modeling and robotic manipulation.
Latest Patents
Among his latest patents is a system and method for robotic gripping utilizing dynamic collision modeling for vacuum suction and finger control. This innovative technique involves controlling a robotic gripping system that employs vacuum suction and finger grasping, actuated based on a dynamic collision model. The model generates collision scenes of the surrounding environment, which are crucial for determining potential collisions in a motion path. This information is then used to selectively actuate the vacuum suction and/or finger grasping.
Another significant patent is for nested linear stroke multipliers for robot manipulators. This invention describes a robotic manipulator that includes multiple stages, where the movement of one stage passively drives the movement of the subsequent stage. This passive driving can be achieved through various mechanisms, including cables or rack and pinion components. The design allows for additional stages, enhancing the manipulator's capabilities.
Career Highlights
Jun Jeong has made significant contributions to the field of robotics through his work at notable companies such as Kindred Systems Inc. and Ocado Innovation Limited. His experience in these organizations has allowed him to refine his skills and develop innovative solutions in robotic technology.
Collaborations
Throughout his career, Jun has collaborated with talented individuals, including David Gabriel Hallock and Thomas John Hummel. These partnerships have fostered a creative environment that has led to groundbreaking advancements in robotic systems.
Conclusion
Jun Jeong's contributions to robotic gripping technology exemplify his innovative spirit and dedication to advancing the field. His patents reflect a deep understanding of robotics and a commitment to improving the functionality of robotic systems.