This inventor holds 2 USPTO granted patents and 1 published patent application, plus 3 CIPO patents and 3 EPO patents. Top assignee: Softbank Robotics Europe. Active years: 2019.
Company Filing History:
Years Active: 2019
Title: Innovations by Lucas Souchet in Robotics
Introduction
Lucas Souchet is an innovative inventor based in Paris, France. He has made significant contributions to the field of robotics, particularly in the development of autonomous systems. With a total of 2 patents, his work focuses on enhancing the capabilities of robots to navigate and interact with their environments safely.
Latest Patents
One of Lucas Souchet's latest patents is a method for building a map of probability of the absence and presence of obstacles for an autonomous robot. This method involves computing a pixel map that helps the robot understand its surroundings by detecting obstacles using a set of sensors. The process includes initializing a map around the robot, acquiring data from sensing procedures, and updating the probabilities of obstacles based on real-time observations.
Another notable patent is for a humanoid robot with collision avoidance and trajectory recovery capabilities. This robot can execute predefined trajectories while detecting obstacles in a safety zone around its body. When an obstacle is detected, the robot can avoid it and then rejoin its original trajectory, ensuring smooth and safe movement.
Career Highlights
Lucas Souchet is currently employed at Softbank Robotics Europe, where he continues to push the boundaries of robotic technology. His work is instrumental in developing robots that can operate autonomously in complex environments.
Collaborations
Lucas collaborates with talented coworkers, including Nicolas Garcia and Sébastien Dalibard, who contribute to the innovative projects at Softbank Robotics Europe.
Conclusion
Lucas Souchet's contributions to robotics through his patents demonstrate his commitment to advancing technology in this field. His innovative methods for obstacle detection and trajectory management are paving the way for safer and more efficient autonomous robots.