Bao Huy Le

Title: Bao Huy Le and Robotics Innovation.

Introduction

Bao Huy Le is an inventor based in Tübingen, Germany, whose patent work focuses on robot control and machine-learning methods for manipulating objects. He is associated with Robert Bosch and has 2 patents.

Latest Patents

Le’s latest patents address training control policies and enabling robots to interpret sensor data and act on it.

“Device and method for training a control policy for manipulating an object” describes a method that uses image data showing an object’s shape and position in a scene. The method generates augmented images and pseudo-labels under a semi-supervised learning scheme, then uses the resulting training data to train a control policy for object manipulation.

“Device and method for controlling a robot device” describes a robot-control method that processes multiple types of sensor data through an encoding and fusion model. Encoding stages generate features for each sensor type, while fusion layers combine those features and pass information through the model. The system then selects an action and controls the robot to perform it.

Career Highlights

Le’s listed patent work connects machine learning with practical robotics. One invention focuses on training a policy to manipulate objects, while the other describes a framework for combining sensor inputs to guide a robot’s actions. His association with Robert Bosch places this work within an industrial setting.

Collaborations

Le’s listed coworkers include Anh Vien Ngo and Alexander Qualmann. Their names are associated with his professional and patent-related context.

Conclusion

Bao Huy Le’s two patents highlight complementary approaches to robotics: learning how to manipulate objects and using fused sensor data to control a robot’s actions.