Seattle, WA, United States of America

Adam Harper Fishman

This inventor holds 4 USPTO granted patents and 1 published patent application. Top assignee: Nvidia Corporation. Active years: 2023-2025.

USPTO Granted Patents = 4 

% Patents Active = 100.0

Average Co-Inventor Count = 5.8

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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4 patents (USPTO):Explore Patents

Title: Adam Fishman - Innovator in Robotic Collision Detection

Introduction

Adam Fishman is a notable inventor based in Seattle, WA (US). He has made significant contributions to the field of robotics, particularly in the area of collision detection for object rearrangement. His innovative work is essential for enhancing the capabilities of robotic systems in complex environments.

Latest Patents

Adam Fishman holds a patent for "Collision detection for object rearrangement using a 3D scene representation." This patent addresses a common robotic task involving the rearrangement of physical objects in an environment. The technology enables a robot manipulator to pick up a target object and place it in a designated location, such as a shelf or cabinet. The invention focuses on generating complex collision-free motions, which is crucial in cluttered environments. He has 1 patent to his name.

Career Highlights

Adam Fishman is currently employed at Nvidia Corporation, where he applies his expertise in robotics and artificial intelligence. His work at Nvidia contributes to the advancement of technologies that enhance robotic functionalities and improve user experiences.

Collaborations

Throughout his career, Adam has collaborated with talented individuals such as Adithyavairavan Murali and Arsalan Mousavian. These collaborations have fostered innovation and have led to the development of cutting-edge technologies in the field of robotics.

Conclusion

Adam Fishman is a prominent figure in the realm of robotic innovation, with a focus on collision detection and object rearrangement. His contributions are paving the way for more efficient and intelligent robotic systems.

Profile summary based on public USPTO records.
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