San Francisco, CA, United States of America

Kautilya Chenna


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Kautilya Chenna: Innovator in Robot Motion Control

Introduction

Kautilya Chenna is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of robotics, particularly in task planning and motion control. His innovative approach has the potential to enhance the efficiency and safety of robotic operations.

Latest Patents

Kautilya holds a patent for a "Method and apparatus for online task planning and robot motion control." This patent discloses techniques that provide advantageous approaches to online task and motion planning for robots. The methods involve decomposing robot tasks into subtasks with attached attributes, which indicate whether dynamic trajectory modification is permitted during subtask execution. This decomposition allows for hybrid motion control, enabling some subtasks to allow for reactive motion planning for collision avoidance, while others do not. The patent emphasizes the importance of coordinating volume reservations within a robot work cell to prevent interference during non-reactive subtasks.

Career Highlights

Kautilya is currently employed at Omron Corporation, where he continues to develop innovative solutions in robotics. His work focuses on enhancing the capabilities of robots in various applications, making them more adaptable and efficient in dynamic environments.

Collaborations

Kautilya collaborates with talented individuals such as Akihiro Suzumura and Gaurav Misra. Their combined expertise contributes to the advancement of robotic technologies and the successful implementation of innovative solutions.

Conclusion

Kautilya Chenna is a key figure in the field of robotics, with a focus on task planning and motion control. His patent and ongoing work at Omron Corporation highlight his commitment to advancing robotic technology. His contributions are paving the way for safer and more efficient robotic operations in various industries.

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