Heidelberg, Germany

Hao Ding

USPTO Granted Patents = 5 

 

Average Co-Inventor Count = 4.5

ph-index = 2

Forward Citations = 10(Granted Patents)


Location History:

  • Ladenburg, DE (2018)
  • Heidelberg, DE (2019 - 2022)

Company Filing History:


Years Active: 2018-2022

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5 patents (USPTO):

Title: The Innovative Contributions of Hao Ding

Introduction

Hao Ding is a notable inventor based in Heidelberg, Germany. He has made significant contributions to the field of robotics, particularly in the areas of torque estimation and control mechanisms. With a total of five patents to his name, Ding's work has advanced the capabilities of industrial robots.

Latest Patents

Hao Ding's latest patents include a "Method for estimating a wrench" and a "Method of determining a joint torque in a joint of an articulated industrial robot." The first patent outlines a method for estimating a wrench acting on a reference point of a robot. This method involves measuring at least one component of the wrench and estimating the non-measured components based on a dynamical model of the robot. The second patent focuses on determining joint torque in an articulated industrial robot. It describes a process where an electric drive unit is controlled by an electronic control device, which measures the electric current supplied to the drive unit to determine the actual torque applied to the robot's arm.

Career Highlights

Throughout his career, Hao Ding has worked with prominent companies such as ABB Schweiz AG and ABB AG. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects in robotics.

Collaborations

Hao Ding has collaborated with notable coworkers, including Bjoern Matthias and Fan Dai. Their combined expertise has fostered a productive environment for innovation and development in their respective fields.

Conclusion

Hao Ding's contributions to robotics through his patents and collaborations highlight his role as a significant inventor in the industry. His innovative methods for torque estimation and control mechanisms continue to influence the advancement of robotic technology.

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