Jianlan Luo

Title: Innovations of Jianlan Luo in Robotic Control Systems.

Introduction

Jianlan Luo is an accomplished inventor based in Mountain View, CA (US). He has made significant contributions to the field of robotics, particularly in the development of machine-learnable robotic control plans. His innovative approach combines advanced methodologies with practical applications, showcasing his expertise in the domain.

Latest Patents

Jianlan Luo holds a patent for "Machine-learnable robotic control plans." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for utilizing learnable robotic control plans. One of the methods involves obtaining a learnable robotic control plan that includes a state machine with multiple states and transitions. The plan features learnable states, each defined by parameters and machine learning procedures for automatic learning. The processing of this plan generates a specific robotic control plan by characterizing the robotic execution environment and executing machine learning procedures to derive values for each learnable parameter.

Career Highlights

Throughout his career, Jianlan has worked with notable companies, including Intrinsic Innovation LLC and Google Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in robotics and artificial intelligence.

Collaborations

Jianlan has collaborated with talented individuals such as Ning Ye and Maryam Bandari, who have contributed to his innovative projects and research endeavors.

Conclusion

Jianlan Luo's work in machine-learnable robotic control plans exemplifies the intersection of innovation and technology. His contributions continue to influence the field of robotics, paving the way for future advancements.