Company Filing History:
Years Active: 2019
Title: Sehoon Ha: Innovator in Robotic Design
Introduction
Sehoon Ha is a prominent inventor based in Pittsburgh, PA (US), known for his contributions to the field of robotics. His innovative work focuses on the computational design of robots, particularly legged robots, which has significant implications for various applications in robotics and automation.
Latest Patents
Sehoon Ha holds a patent for a system titled "Computational design of robots from high-level task specifications." This patent describes a robot design system that is particularly well-suited for legged robots, including monopods, bipeds, and quadrupeds. The system comprises three main modules: a motion optimization module, a morphology optimization module, and a link length optimization module. The motion optimization module generates motion trajectories for the robot's center of mass and force effectors. The morphology optimization module utilizes these trajectories along with a library of modular robot components to produce an optimized robot morphology. Finally, the link length optimization module outputs optimal link lengths tailored for specific tasks, enhancing the efficiency of robot design.
Career Highlights
Sehoon Ha is currently employed at Disney Enterprises, Inc., where he continues to develop innovative solutions in robotic design. His work is characterized by a strong emphasis on numerical optimization techniques that address the challenges of automatically designing legged robots for various locomotion tasks.
Collaborations
Throughout his career, Sehoon Ha has collaborated with notable colleagues, including Alexander Nicholas Alspach and Joohyung Kim. These collaborations have contributed to the advancement of robotic technologies and the exploration of new methodologies in the field.
Conclusion
Sehoon Ha's innovative contributions to robotic design, particularly through his patented systems, highlight his role as a key figure in the evolution of legged robotics. His work not only enhances the efficiency of robot design but also paves the way for future advancements in the field.