This inventor holds 4 USPTO granted patents and 3 EPO patents. Top assignees: Carnegie Mellon University, Toyota Motor Engineering & Manufacturing North America, Inc., Toyota Jidosha Kabushiki Kaisha. Active years: 2014-2016.
Company Filing History:
4 out of 1,181 
3 out of 4,341 
1 out of 38,668 
Years Active: 2014-2016
Title: Innovations by Junggon Kim in Robotics and Grasp Pattern Evaluation
Introduction
Junggon Kim is an accomplished inventor based in Pittsburgh, PA (US), known for his contributions to robotics and grasp pattern evaluation. With a total of 4 patents, he has made significant strides in developing methods that enhance robotic manipulation capabilities.
Latest Patents
One of Junggon Kim's latest patents focuses on methods and computer-program products for evaluating grasp patterns used by robots. This innovative approach involves selecting an individual grasp pattern from a set, establishing a thumb-up vector, and simulating the motion of the manipulator and end effector according to the selected grasp pattern. The method evaluates the direction of the thumb-up vector during the simulated motion and excludes any grasp pattern that does not meet predetermined thresholds. This technology aims to improve the efficiency and effectiveness of robots in manipulating target objects.
Career Highlights
Throughout his career, Junggon Kim has worked with prestigious organizations such as Carnegie Mellon University and Toyota Motor Engineering & Manufacturing North America, Inc. His experience in these institutions has allowed him to collaborate on cutting-edge research and development projects in the field of robotics.
Collaborations
Junggon Kim has collaborated with notable professionals in the industry, including Yasuhiro Ota and James J Kuffner. These partnerships have contributed to the advancement of his research and the successful implementation of his innovative ideas.
Conclusion
Junggon Kim's work in evaluating grasp patterns for robotic applications showcases his expertise and commitment to advancing technology in this field. His patents and collaborations reflect a dedication to improving robotic functionality and efficiency.