Prof. Haojian LU | Robotic Sensing | Best Researcher Award

Prof. Haojian LU | Robotic Sensing | Best Researcher Award

Prof. Haojian LU, Zhejiang University, China

Haojian Lu is a professor in the College of Control Science and Engineering at Zhejiang University. He completed his B.S. in Mechatronical Engineering (first major) and Business Administration (second major) at the Beijing Institute of Technology in 2015. He earned his Ph.D. in Robotics from City University of Hong Kong in 2019. His research focuses on medical robotics, robotic sensing, micro/nano robotics, and soft robotics. He has published over 100 peer-reviewed papers in prominent journals and conferences, receiving multiple best paper awards and travel grants. He has served on the editorial boards of several journals and is a member of IEEE and AAAS.

Professional Profile

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Recommendation for Best Researcher Award: Professor Haojian Lu

Summary of Suitability for Award

Professor Haojian Lu’s remarkable contributions to robotics research, demonstrated through his extensive publication record, accolades, leadership roles, and innovative research projects, he is an outstanding candidate for the Best Researcher Award. His work not only advances the field of robotics but also has significant implications for healthcare and technology, reflecting a commitment to impactful research that benefits society. Recognizing his achievements with this award would be a fitting acknowledgment of his dedication and contributions to the scientific community.

Education

The educational journey of the individual spans two prestigious institutions, showcasing a strong foundation in both engineering and robotics. At the City University of Hong Kong, they pursued a Ph.D. in Robotics from August 2015 to October 2019, focusing on cutting-edge areas such as micro/nano manipulation, soft millirobots, and magnetic manipulation and control. Their research contributed significantly to the development of advanced robotic systems capable of intricate tasks at the micro and nano scales. Prior to this, they earned a B.S. in Mechatronical Engineering (first major) and Business Administration (second major) from the Beijing Institute of Technology between September 2011 and June 2015. Here, their research interests included legged robotics gait planning and stability control, field robotics, and aerial dispersal robotics, demonstrating a well-rounded expertise that bridges technical innovation and practical applications in the field of robotics. This diverse educational background positions them as a valuable contributor to advancements in robotic technologies.

Experiance

The individual currently serves as a Professor at Zhejiang University since September 2020, where their research encompasses medical robotics, robotic sensing, micro/nano robotics, and soft robotics. In this role, they lead innovative projects aimed at advancing healthcare technologies through robotics, emphasizing the importance of precision and adaptability in medical applications. Their expertise in robotic sensing enhances the capability of medical devices, while their work in micro/nano and soft robotics contributes to the development of versatile and minimally invasive solutions.Prior to their professorship, they worked as a Research Assistant at the City University of Hong Kong from October 2019 to August 2020. During this period, their research focused on nano-robotic manipulation and bio-assembly, where they investigated techniques for manipulating nanoscale materials for biological applications. This foundational experience allowed them to hone their skills in cutting-edge robotics research, setting the stage for their current impactful work in the field.

Awards and Honors

Professor Haojian Lu has received several prestigious awards and honors throughout his academic career, reflecting his significant contributions to the field of robotics. Notably, he was awarded the National Science Fund for Excellent Young Scholars, recognizing his outstanding research potential and achievements in advancing robotic technologies. Additionally, he received the Zhejiang University Outstanding Young Faculty Award, which honors his dedication to teaching and research excellence. His innovative work in medical robotics and soft robotics has also led to the recognition of multiple patents, highlighting his commitment to translating research into practical applications. Furthermore, Professor Lu’s contributions to nano-robotic manipulation have earned him the Best Paper Award at several international conferences, showcasing his influence and thought leadership in the robotics community. These accolades underscore his role as a pioneering researcher and educator, committed to pushing the boundaries of robotics and its applications in various fields.

Research focus

Professor Haojian Lu’s research interests encompass a diverse range of cutting-edge areas within robotics, primarily focusing on medical robotics, robotic sensing, micro/nano robotics, soft robotics, and micro aerial vehicles. His work in medical robotics aims to enhance surgical precision and patient outcomes through the development of advanced robotic systems that assist in minimally invasive procedures. In the realm of robotic sensing, he investigates innovative sensor technologies that improve the interaction between robots and their environments, enabling more intuitive and effective responses. His research in micro and nano robotics delves into the manipulation and control of tiny robots for applications in bioengineering and medicine. Additionally, Professor Lu explores soft robotics, emphasizing the design of flexible and adaptive robotic systems that can safely interact with humans and navigate complex environments. Lastly, his interest in micro aerial vehicles focuses on developing agile and efficient drones for various applications, including environmental monitoring and disaster response.

Publication Top Notes

“3D Model-Free Visual Localization System From Essential Matrix Under Local Planar Motion”
“Design and Stiffness Control of a Variable-Length Continuum Robot for Endoscopic Surgery”
“Learning-Based High-Precision Force Estimation and Compliant Control for Small-Scale Continuum Robot”
“Meta Reinforcement Learning of Locomotion Policy for Quadruped Robots With Motor Stuck”
“Piezoelectric Planar Parallel Microrobot With High Bandwidth and Precision for Micromanipulation”