This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Autodesk, Inc.. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Jieliang Luo: Innovator in Robotic Assembly Techniques
Introduction
Jieliang Luo is a talented inventor based in San Bruno, California, known for his significant contributions to the field of robotic assembly. His innovative work focuses on the integration of machine learning with robotic systems, enhancing their efficiency and adaptability through advanced techniques.
Latest Patents
Luo holds a patent for "Techniques for force and torque-guided robotic assembly." This patent outlines methods for training and applying machine learning models to control robotic assembly processes. The technique incorporates force and torque measurements as inputs to a machine learning model, which features a memory layer that introduces recurrency. By utilizing reinforcement learning in a robot-agnostic environment, the model generates actions necessary for achieving assembly tasks based on these measurements. The approach includes a system for collecting and organizing training transitions, ultimately enabling the machine learning model to effectively control different types of robots in assembly tasks based on real-time sensor data.
Career Highlights
Currently, Jieliang Luo is associated with Autodesk, Inc., a leader in software solutions for design and engineering. His role at Autodesk allows him to apply his expertise in robotic assembly, contributing to the company's commitment to innovation in engineering and manufacturing.
Collaborations
Throughout his career, Luo has likely engaged with various teams at Autodesk and other research institutions, collaborating on projects that harness the power of machine learning and robotics. Though specific collaborations have not been detailed, it is common for inventors like him to work alongside experts in different fields to push the boundaries of technology and innovation.
Conclusion
Jieliang Luo's work represents a significant advancement in the integration of machine learning and robotics. His patented techniques facilitate more effective robotic assembly processes, showcasing the potential for innovation in automation. As he continues his career at Autodesk, the impact of his contributions is likely to resonate within the industry and inspire future advancements in robotic and engineering technologies.