This inventor holds 1 USPTO granted patent. Top assignee: Honda Motor Co., Ltd.. Active years: 2013.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2013
Title: Shivaram Kalyanakrishnan: Innovator in Humanoid Robotics
Introduction
Shivaram Kalyanakrishnan is a notable inventor based in Austin, TX (US). He has made significant contributions to the field of robotics, particularly in the area of humanoid robot stability and fall prediction. His innovative approach combines machine learning techniques with practical applications in robotics.
Latest Patents
Kalyanakrishnan holds a patent for a "Machine learning approach for predicting humanoid robot fall." This patent describes a system and method for predicting when a robot with at least two legs is likely to fall. The invention utilizes a learned representation generated by a supervised learning algorithm, which is based on the trajectories of a simulated robot subjected to various forces. The system evaluates multiple features of the robot's current state, such as the height of its center of mass, to classify whether the robot is balanced or falling.
Career Highlights
Shivaram Kalyanakrishnan is currently employed at Honda Motor Co., Ltd., where he continues to work on advancements in robotics and machine learning. His expertise in these areas has positioned him as a valuable asset in the development of innovative robotic systems.
Collaborations
Kalyanakrishnan collaborates with fellow innovator Ambarish Goswami, contributing to the advancement of technology in their field.
Conclusion
Shivaram Kalyanakrishnan's work in predicting humanoid robot falls showcases his innovative spirit and dedication to enhancing robotic stability. His contributions are paving the way for safer and more reliable humanoid robots in various applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
