Dr Naifeng He, Nanjing University of Aeronautics and Astronautics,China
He Naifeng is a dedicated PhD candidate at the School of Automation, Nanjing University of Aeronautics and Astronautics. Specializing in motion control and navigation of wheel-legged mobile robots, his research integrates traditional control techniques with reinforcement learning to enhance robotic autonomy in dynamic environments.
Professional Profile:
Summary of Suitability for the Best Researcher Award:
He Naifeng, a PhD candidate at the School of Automation, Nanjing University of Aeronautics and Astronautics, specializes in motion control and navigation of wheel-legged mobile robots. His innovative research integrates traditional control techniques with reinforcement learning, significantly enhancing the autonomy and agility of mobile robots in dynamic environments. With several published articles and a pending patent, He Naifeng demonstrates a commitment to advancing the field of robotics.
Education
He Naifeng is pursuing a PhD at the prestigious Nanjing University of Aeronautics and Astronautics, where he has built a strong foundation in automation and robotics. His academic journey reflects a commitment to advancing technology in mobile robotics, demonstrating a keen interest in both theoretical knowledge and practical applications.
Work Experience
As a PhD candidate, He Naifeng is actively involved in cutting-edge research projects focused on optimizing navigation systems for wheel-legged robots. His work includes consultancy projects that apply advanced navigation algorithms in industrial inspection settings, showcasing his ability to translate research into real-world solutions.
Skills
He possesses a robust skill set that includes motion control system design, reinforcement learning applications, and path planning for autonomous systems. His expertise in integrating traditional control methods with advanced machine learning techniques positions him as a valuable asset in the field of robotics.
Awards and Honors
He Naifeng’s research has garnered recognition, including publications in prominent journals such as Sensors and Actuators. He is also in the process of patenting a dynamic obstacle avoidance control system for wheel-legged robots, reflecting his innovative contributions to the field.
Membership
He is an active member of professional organizations related to automation and robotics, facilitating collaborations and networking opportunities within the scientific community. His membership underscores his commitment to staying at the forefront of advancements in his field.
Teaching Experience
He Naifeng has experience in guiding students and peers through complex topics in automation and robotics. His ability to communicate intricate concepts effectively makes him a respected figure among his colleagues and students.
Research Focus
His research focuses on autonomous navigation for wheel-legged robots, with particular emphasis on reinforcement learning in control systems and intelligent motion control. He aims to develop practical applications that enhance the performance and adaptability of mobile robots in challenging environments.
Publication top Notes:
A Supervised Reinforcement Learning Algorithm for Controlling Drone Hovering
A Self-Adaptive Double Q-Backstepping Trajectory Tracking Control Approach Based on Reinforcement Learning for Mobile Robots
A State-Compensated Deep Deterministic Policy Gradient Algorithm for UAV Trajectory Tracking
Adaptive PID Trajectory Tracking Algorithm Using Q-Learning for Mobile Robots