Boston, MA, United States of America

Leland Hepler

USPTO Granted Patents = 4 

Average Co-Inventor Count = 2.4

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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4 patents (USPTO):Explore Patents

Title: Leland Hepler: Innovator in Robot Autonomy

Introduction

Leland Hepler is a prominent inventor based in Boston, MA, known for his contributions to the field of robotics. With a total of four patents to his name, Hepler has made significant strides in developing methods for enhancing robot autonomy. His work focuses on creating systems that allow robots to navigate and interact with their environments more effectively.

Latest Patents

Hepler's latest patents include innovative methods for online authoring of robot autonomy applications. This method involves receiving sensor data from the robot's environment while it traverses through it. The process generates an environmental map that represents the surroundings of the robot based on the received sensor data. Additionally, it localizes the robot's current position within this map and records actions for the robot to perform at various target locations. Another notable patent is for object-based robot control, which includes detecting objects in the environment and authoring interaction behaviors for the robot. This method augments the localization map to reflect the interaction capabilities of the detected objects.

Career Highlights

Hepler is currently employed at Boston Dynamics, Inc., a company renowned for its cutting-edge robotics technology. His work at Boston Dynamics has positioned him as a key player in the advancement of robotic systems that can operate autonomously in complex environments.

Collaborations

Hepler collaborates with talented individuals such as Samuel Seifert and Mario Bollini, contributing to a dynamic team focused on pushing the boundaries of robotic innovation.

Conclusion

Leland Hepler's work in robot autonomy exemplifies the innovative spirit of modern inventors. His patents reflect a commitment to enhancing the capabilities of robots, paving the way for future advancements in the field.

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