Dr. zhendong zhao | robotics | Best Scholar Award

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Dr. zhendong zhao | robotics | Best Scholar Award

Ph.D. graduate student, Hebei University of Technology, China

Zhendong Zhao is a passionate Ph.D. graduate student at the School of Artificial Intelligence and Data Science, Hebei University of Technology, China . With a strong foundation in control science and engineering, Zhendong is deeply involved in cutting-edge research in embodied intelligence and robotics powered by large language models (LLMs). His dedication to integrating AI with robotics has already led to the development of novel frameworks that enhance collaborative and autonomous robotic systems 🤖.

Publication Profile

ORCID

🎓 Education Background:

Zhendong Zhao is currently pursuing his Ph.D. in Control Science and Engineering at Hebei University of Technology. His academic path has been rooted in artificial intelligence, with a strong emphasis on integrating LLMs into real-world robotic applications. He has been trained in advanced AI theories, machine learning, and robotic systems that lay the groundwork for his research endeavors 📚.

💼 Professional Experience:

As a doctoral researcher at Hebei University of Technology, Zhendong Zhao has contributed to developing innovative robotic frameworks. His research focuses on leveraging large language models to enhance robot collaboration, especially in healthcare contexts like nursing robots. Despite his early career stage, Zhendong has demonstrated remarkable potential through independent research and publications in top-tier journals 🧪.

🏅 Awards and Honors:

While no formal awards have been mentioned yet, Zhendong Zhao’s impactful research and publication record already highlight his contributions to AI and robotics. His work has earned attention through prestigious platforms such as IEEE Robotics and Automation Letters and Bioengineering, positioning him as a rising researcher in the field 🏆.

🔬 Research Focus:

Zhendong’s research centers around embodied intelligence and LLM-based dual-arm robotics. He introduced a dual-agent framework named DABICO for task planning in nursing robots. This system builds a dual-agent (left-arm and right-arm) structure that emphasizes inter-agent communication and validation mechanisms. His research pushes the frontier of how LLMs can coordinate physical tasks across robotic limbs in real-time, especially for bimanual coordination tasks in caregiving robots 🦾.

✅ Conclusion:

Zhendong Zhao stands out as a forward-thinking Ph.D. researcher who merges AI theory with practical robotic implementations. With multiple publications in high-impact journals and a focused vision for advancing embodied intelligence, Zhendong is poised to become a significant contributor to the future of intelligent robotics.

📝 Top Publications :

The Multi-Agentization of a Dual-Arm Nursing Robot Based on Large Language Models
📅 Published: 2025
📚 Journal: Bioengineering
🔗 DOI: 10.3390/bioengineering12050448
🔁 Cited by: Crossref-indexed (specific citation count pending)

A Dual-Agent Collaboration Framework Based on LLMs for Nursing Robots to Perform Bimanual Coordination Tasks
📅 Published: 2025
📚 Journal: IEEE Robotics and Automation Letters
🔗 DOI: 10.1109/LRA.2025.3533476
🔁 Cited by: Crossref-indexed (specific citation count pending)

Assoc. Prof. Dr. Samuel Moveh | Robotics | Best Researcher Award

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Assoc. Prof. Dr. Samuel Moveh | Robotics | Best Researcher Award

Associate Professor, Transporta un sakaru instituts TSI, Latvia

Dr. Samuel Moveh is a passionate researcher and academician dedicated to advancing knowledge in mechanical engineering, artificial intelligence, and robotics. With a strong background in teaching and research, he has contributed significantly to academia through his innovative work in autonomous systems, intelligent control, and smart technologies. Dr. Moveh has held key academic positions across multiple universities, including his role as a Visiting Associate Professor at the Transport and Telecommunication Institute, Latvia, and a University Professor at Istanbul Gelisim University, Türkiye. His commitment to mentorship and scholarly excellence is evident in his numerous publications, research collaborations, and contributions to technological advancements.

Publication Profile

🎓 Education

Dr. Samuel Moveh holds a Ph.D. in Mechanical Engineering from Universiti Teknologi Malaysia (UTM) 🏛️, where he specialized in autonomous systems and intelligent control. He earned his Master’s degree in Mechanical Production Engineering from Ahmadu Bello University, Nigeria, and a Bachelor’s degree in Mechanical Engineering (Honors) from Modibbo Adama University, Nigeria. His academic journey is marked by excellence, with a strong focus on applied mechanics, fluid dynamics, and robotics.

💼 Experience

With over a decade of academic and research experience, Dr. Moveh has contributed to various institutions globally. As a Visiting Associate Professor at the Transport and Telecommunication Institute, Latvia, he taught advanced courses in aeronautical systems, artificial intelligence, and robotics. He also served as a University Professor and Erasmus Coordinator at Istanbul Gelisim University, where he played a pivotal role in international academic collaborations. His research experience spans across National University of Singapore, where he worked on smart facade technologies, and Infinity FM, Malaysia, contributing to smart city development. His earlier roles include lecturing positions at Modibbo Adama University, Nigeria, where he mentored numerous students in mechanical engineering and intelligent systems.

🏅 Awards and Honors

Dr. Moveh has been recognized for his outstanding contributions to engineering and academia. He has received multiple awards for his research excellence, particularly in autonomous vehicle control, intelligent systems, and sustainable smart technologies. His contributions to interdisciplinary research and technological innovations have earned him a reputation as a leading scholar in his field.

🔬 Research Focus

Dr. Moveh’s research interests lie in autonomous vehicle control, artificial intelligence, robotics, and smart city technologies. He has made significant contributions to developing intelligent lane-keeping systems, smart facade technologies, and machine learning applications in engineering. His work focuses on integrating AI-driven control systems into real-world applications, ensuring sustainability, efficiency, and innovation in mechanical and smart technologies.

📚 Publications

A review of some pure-pursuit based path tracking techniques for control of autonomous vehicles – International Journal of Computer Applications (2016) 📖 Cited by 229

Lane keeping maneuvers using proportional integral derivative (PID) and model predictive control (MPC) – Journal of Robotics and Control (2021) 🤖 Cited by 28

Development of edge-based lane detection algorithm using image processing – JOIV: International Journal on Informatics Visualization (2018) 🖥️ Cited by 23

Housing quality standard and Covid-19 pandemic: A call for attention in Nigeria – Journal of Science, Engineering, Technology and Management (2020) 🏠 Cited by 22

Non-intrusive room occupancy prediction performance analysis using different machine learning techniques – Energies (2022) 🔥 Cited by 20

IoT and big data technologies: opportunities and challenges for higher learning – International Journal of Recent Technology and Engineering (2020) 📡 Cited by 18

AI Driven Thermal People Counting for Smart Window Facade Using Portable Low‐Cost Miniature Thermal Imaging Sensors – Preprints (2020) 🌡️ Cited by 17

Evaluating the performance of fuzzy-PID control for lane recognition and lane-keeping in vehicle simulations – Electronics (2023) 🚗 Cited by 13

The influence of silicon carbide particulate loading on tensile, compressive and impact strengths of Al-Sicp composite for sustainable development – Chemical Engineering Transactions (2018) ⚙️ Cited by 10

🔚 Conclusion

Dr. Samuel Moveh is a distinguished researcher whose work bridges the gap between mechanical engineering, artificial intelligence, and robotics. His extensive contributions to smart technologies, autonomous systems, and intelligent control systems have made a lasting impact in academia and industry. With a strong commitment to innovation, mentorship, and research excellence, he continues to inspire the next generation of engineers and scientists worldwide. 🚀