Company Filing History:
Years Active: 2025
Title: Ricson Cheng: Innovator in Dynamic Object Removal Technology
Introduction
Ricson Cheng is a notable inventor based in Bridgewater, NJ (US). He has made significant contributions to the field of robotics and simulation through his innovative patent. His work focuses on enhancing the capabilities of robotic platforms by improving the way they interact with dynamic objects in their environments.
Latest Patents
Ricson Cheng holds a patent titled "Systems and methods for dynamic object removal from three-dimensional data." This patent outlines systems and methods for generating simulation data based on real-world environments. The method involves obtaining multi-modal sensor data indicative of a dynamic object within the environment of a robotic platform. The data is associated with multiple timesteps, including a first and a second timestep. The process includes providing this multi-modal sensor data as input to a machine-learned dynamic object removal model. The output of this model is a scene representation that indicates a portion of the environment, including a reconstructed region based on the removal of the dynamic object and multiple levels of granularity. This scene representation serves as a template for generating various simulations within the depicted environment.
Career Highlights
Ricson Cheng is currently employed at Aurora Operations, Inc., where he applies his expertise in robotics and simulation technologies. His innovative approach to dynamic object removal has positioned him as a key player in the advancement of robotic systems.
Collaborations
Ricson collaborates with talented individuals such as Adam Wlodzimierz Harley and Justin Liang. Together, they work on projects that push the boundaries of technology and enhance the functionality of robotic platforms.
Conclusion
Ricson Cheng's contributions to the field of robotics through his patent on dynamic object removal demonstrate his innovative spirit and commitment to advancing technology. His work not only enhances robotic capabilities but also paves the way for future developments in simulation and robotics.