Peng Bo | Robotics | Excellence in Scientific Innovation Award

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Dr. Peng Bo | Robotics | Excellence in Scientific Innovation Award

Tsinghua University | China

Dr. Peng Bo is a researcher specializing in control systems, networked autonomous vehicles, and advanced filtering techniques, with a focus on H∞ filtering and event-based control methods for complex networked systems. His work integrates rigorous mathematical modeling, augmented Lyapunov functional approaches, and innovative algorithm design to enhance stability, performance, and reliability in mass-switching autonomous multi-vehicle systems. With a strong foundation in system dynamics and networked control, he has contributed to several high-impact publications, demonstrating a practical yet theoretically robust research approach. His research has influenced both academic developments and real-world applications in intelligent transportation and autonomous systems, reflecting measurable impact through citations and collaborative contributions in his field. Dr. Peng Bo continues to advance methodologies for robust control and optimization in interconnected, dynamic environments.

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Featured Publications

Chien-I Chang | Robotics | Research Excellence Award

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Mr. Chien-I Chang | Robotics | Research Excellence Award

National Chiayi University | Taiwan

Mr. Chien-I Chang is a robotics researcher whose work integrates intelligent systems, autonomous control, and applied computer science to advance next-generation robotic technologies. His research centers on designing adaptive robotic platforms capable of operating in dynamic, unstructured, or human-interactive environments, with a strong emphasis on sensor fusion, machine perception, and real-time decision-making. He has extensive experience developing autonomous navigation algorithms, robotic manipulation systems, and embedded architectures optimized for efficiency, stability, and scalability. His work bridges theoretical modeling with practical engineering, resulting in robotics solutions that are deployable across industrial, educational, and service-oriented settings. Through continuous exploration of mechatronic integration, computer vision, and learning-based control, he aims to enhance robot autonomy and expand practical use cases in daily life. His professional experience includes leading innovative robotics projects, mentoring teams in advanced robotic development, and transforming research outcomes into functional systems with societal impact. He is particularly interested in scalable and modular robotic designs that lower entry barriers for automation and support real-world problem solving. His research philosophy focuses on combining rigorous scientific inquiry with hands-on experimentation to accelerate the evolution of intelligent robotics. Through his academic pursuits and ongoing contributions to the robotics industry, he remains committed to advancing the performance, reliability, and accessibility of robotic technologies while fostering innovation that benefits education, industry, and broader communities.

Profile: Scopus

Featured Publication

Chang, C.-I., (2025). A low-cost autonomous outdoor robot with stabilized controller and deep-learning integrated GPS navigator under end-to-end implementation. Journal of the Chinese Institute of Engineers / Transactions of the Chinese Institute of Engineers, Series A. Advance online publication.

Mostafa Jalalnezhad | Mobile Robot | Best Researcher Award

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Dr. Mostafa Jalalnezhad | Mobile Robot | Best Researcher Award

Kharazmi University | Iran

Dr. Mostafa Jalalnezhad is a dedicated researcher in Mechanical Engineering with a specialization in Control and Vibration, focusing particularly on robotics and mechatronics systems. His research interests encompass robotics, mobile robotics, nonlinear control, and robust adaptive control, reflecting a deep engagement with advanced control methodologies and intelligent systems design. He has contributed to the study and development of dynamic control mechanisms aimed at enhancing the precision, stability, and adaptability of robotic systems in complex environments. As a researcher at Kharazmi University, he actively participates in projects that integrate theoretical and experimental approaches to address challenges in automation and control engineering. His expertise extends to the modeling and simulation of robotic systems, adaptive algorithms for uncertain environments, and the design of control strategies to improve system performance under nonlinear and time-varying conditions. Through his academic and research activities, Dr. Jalalnezhad demonstrates a strong commitment to advancing innovations in mechatronic applications and fostering the integration of control theory with practical robotic solutions, contributing meaningfully to the progress of intelligent mechanical systems and modern automation technologies.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Jalalnezhad, M. (2025, December). Neural network-based intelligent path tracking for nonlinear predictive control in wheeled robots. Journal of the Brazilian Society of Mechanical Sciences and Engineering.

Jalalnezhad, M., Sayed, B. T., Alotaibi, Y., Al-Mohair, H. K., Kareem, A. K., Adel, A. A., Khaddour, R. H., Sharma, M. K., Alanssari, A. I., & Attabi, K. A. L. (2025, December). Real-time vision-based obstacle avoidance for mobile robots using lightweight monocular depth estimation and behavior-driven control. Journal of the Brazilian Society of Mechanical Sciences and Engineering.

Jalalnezhad, M., Sharma, M. K., Mansouri, S., Velmurugan, S., Askar, S., Alawsi, T., Alawadi, A., & Abbas, A. H. (2025, November). [RETRACTED] Learning model predictive controller for wheeled mobile robot with less time delay. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Jalalnezhad, M. (2025, October). Design of intelligent control systems for damping vibrations of composite sheets using piezoelectricity as a sensor and actuator under various disturbance conditions. Journal of the Brazilian Society of Mechanical Sciences and Engineering.

Jalalnezhad, M., Kareem, A. K., Chammam, A., & Al Attabi, K. A. (2025, October). Intelligent vibration control of composite and FGM plates using piezoelectric actuators and optimized sliding mode-based controllers. Journal of Vibration Engineering & Technologies.