Tokyo, Japan

Naotaka Hatao


Average Co-Inventor Count = 2.0

ph-index = 2

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2017

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2 patents (USPTO):Explore Patents

Title: Naotaka Hatao: Innovator in Image Stabilization Technologies

Introduction

Naotaka Hatao is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of robotics, particularly in image stabilization technologies. With a total of 2 patents, Hatao's work is paving the way for advancements in robotic vision systems.

Latest Patents

Hatao's latest patents focus on the stabilization of captured images for robots. One of his patents describes a method for stabilizing images by obtaining an image of the environment from the robot's perspective. This method involves receiving depth measurements that correspond to locations within the image. It also includes determining boundaries around a specific location within the image and assessing the deviation of the image capture device from a reference position. The method ultimately provides a stabilized portion of the image to a display device.

Another patent by Hatao addresses the stabilization of images for teleoperated walking biped robots. Similar to his previous work, this method involves obtaining an image from the robot's perspective and utilizing depth measurements. It also includes determining boundaries and assessing deviations to ensure that the images displayed are stable and clear.

Career Highlights

Hatao is currently employed at X Development LLC, where he continues to innovate in the field of robotics. His work has garnered attention for its practical applications in enhancing robotic functionalities.

Collaborations

Hatao collaborates with Takashi Ogura, a fellow innovator in the field. Their partnership has led to advancements in the technologies they are developing.

Conclusion

Naotaka Hatao's contributions to image stabilization in robotics are noteworthy and demonstrate his commitment to innovation. His patents are essential for the future of robotic vision systems, and his work continues to inspire advancements in the field.

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