Hangzhou, China

Tong Yang


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):

Title: Innovations by Tong Yang in Manipulator Path Planning

Introduction

Tong Yang is an accomplished inventor based in Hangzhou, China. He has made significant contributions to the field of manipulator path planning, particularly through his innovative methods that enhance the efficiency of robotic tasks. His work focuses on minimizing operational constraints while maximizing effectiveness in coverage tasks.

Latest Patents

Tong Yang holds a patent titled "Method for performing non-revisiting coverage task by manipulator with least number of lift-offs." This patent addresses the technical challenges associated with manipulator path planning. The method transforms the coverage path design into a problem of sub-cell decomposition, allowing for a more efficient approach to covering surfaces with minimal lift-offs of the end-effector. This innovation is particularly valuable in applications where precision and efficiency are critical.

Career Highlights

Tong Yang is affiliated with Zhejiang University, where he continues to advance research in robotics and automation. His work has garnered attention for its practical applications in various industries, showcasing his ability to bridge theoretical concepts with real-world implementations. His dedication to improving manipulator efficiency has positioned him as a notable figure in his field.

Collaborations

Tong Yang collaborates with esteemed colleagues such as Yue Wang and Rong Xiong. Their combined expertise fosters a dynamic research environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Tong Yang's contributions to manipulator path planning exemplify the impact of innovative thinking in robotics. His patent not only addresses existing challenges but also paves the way for future advancements in the field. Through his work at Zhejiang University and collaborations with fellow researchers, he continues to influence the landscape of robotic technology.

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