Tokyo, Japan

Kazuhiro Sasabuchi

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Kazuhiro Sasabuchi: Innovator in Robotic Learning

Introduction

Kazuhiro Sasabuchi is a notable inventor based in Tokyo, Japan. He has made significant contributions to the field of robotics, particularly in enhancing how robots learn tasks in real-world environments. His innovative approach addresses the challenges faced by robots when learning through observation in cluttered and chaotic settings.

Latest Patents

Sasabuchi holds a patent for a "Verbal-based focus-of-attention task model encoder." This invention provides methods and systems for teaching robots to learn tasks based on verbal or textual cues. The verbal-based Focus-of-Attention (FOA) model enables robots to recognize specific tasks and target objects, allowing them to focus on relevant demonstrations in real environments. This advancement significantly improves a robot's ability to learn by observation, making it more effective in practical applications.

Career Highlights

Kazuhiro Sasabuchi is currently associated with Microsoft Technology Licensing, LLC. His work at Microsoft emphasizes the integration of advanced learning techniques in robotics, showcasing his commitment to innovation in technology. His contributions have the potential to revolutionize how robots interact with their surroundings and learn from human instructions.

Collaborations

Sasabuchi has collaborated with notable colleagues, including Naoki Wake and Katsushi Ikeuchi. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and advancements in robotic learning.

Conclusion

Kazuhiro Sasabuchi's work exemplifies the intersection of robotics and artificial intelligence, particularly in enhancing task learning through verbal cues. His innovative patent and career at Microsoft highlight his dedication to advancing technology in real-world applications.

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