Company Filing History:
Years Active: 2010-2025
Title: Luc Joly: Innovator in Industrial Robotics
Introduction
Luc Joly is a prominent inventor based in Faverges, France. He has made significant contributions to the field of industrial robotics, holding a total of 7 patents. His work focuses on advanced control processes that enhance the functionality and efficiency of industrial robots.
Latest Patents
Luc Joly's latest patents include innovative systems and hybrid position force control processes for industrial robots. One of his notable processes involves calculating a control articular force setpoint within an axis controller module. This process includes several steps, such as calculating the articular conversion matrix from articular positions and providing the axis controller module with multi-dimensional external forces exerted on the robot's effector. Additionally, he has developed methods for calculating the vector of articular forces and the control setpoints for power units based on these calculations. Another patent outlines a time-dependent composite setpoint that defines articular forces and velocities according to a target trajectory and operating mode. This process also includes calculating a behavior matrix that describes the desired behavior of the robot arm.
Career Highlights
Luc Joly is currently employed at Stäubli Faverges, a company known for its expertise in industrial automation and robotics. His work at Stäubli has allowed him to push the boundaries of robotic control systems, contributing to the advancement of technology in this field.
Collaborations
Throughout his career, Luc has collaborated with notable colleagues, including Jean Michel Bonnet Des Tuves and François Pertin. These collaborations have fostered an environment of innovation and creativity, leading to the development of cutting-edge robotic technologies.
Conclusion
Luc Joly's contributions to industrial robotics through his patents and work at Stäubli Faverges highlight his role as a key innovator in the field. His advancements in control processes are paving the way for more efficient and capable industrial robots.
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