Chaojun Qin received a bachelor's degree in Mathematics and Applied Mathematics from Hebei University and is now pursuing a master's degree in Electronic Information at Dalian Maritime University. Her research direction is path planning and control implementation of the morphing quadrotor, and she is currently focusing on obstacle avoidance control strategies for the morphing quadrotor in complex environments.

Na Zhao received her B.S. and M.S. degrees from Northeastern University, China, in 2012 and 2014, respectively, and her Ph.D. degree from the Beijing Institute of Technology, China, in 2019. She was, successively, a Research Assistant and Research Associate in the Department of Electrical and Biomedical Engineering at the University of Nevada, Reno, USA, from 2016 to 2021. She is currently an Xing Hai Associate Professor with the Department of Computer Science and Technology at the Dalian Maritime University, China. Her research interests include morphing robotics, bioinspired robotics, and aerial/land/marine vehicles, with a focus on perception, planning, and control. She was nominated for the Best Paper Award at the flagship robotics conference (IROS).

Qiuyu Wang received her bachelor's degree in Network Engineering from Dalian Maritime University in 2024 and is currently pursuing a master's degree in Electronic Information at Dalian Maritime University. Her research topics mainly include the path planning and control implementation of the morphing quadrotor, with a current focus on time-optimal path planning for it.

Yudong Luo received his B.S. degree in Electrical Engineering, and M.S. and Ph.D. degrees in Biomedical Engineering from the University of Nevada, Reno, USA, in 2011, 2013, and 2018, respectively. He is currently an Associate Professor with the Department of Computer Science and Technology at the Dalian Maritime University. His research is in the areas of robotics, sensors, actuators, bio-instrumentation, and AI. His research has been supported by renowned agencies in both the U.S. and China. He has more than 30 peer-reviewed publications and some patents, and several of his publications have been nominated for Best Paper Awards in the IEEE international conferences IROS and ROBIO.

Yantao Shen received his Ph.D.degree in mechanical and automation engineering from The Chinese University of Hong Kong in 2002. He is currently a Professor with the Department of Electrical and Biomedical Engineering, University of Nevada, Reno, NV, USA. His research has received support from various federal agencies, such as NSF, NIH, NASA, and DOE, as well as state and local agencies. His research interests include robotics, instrumentation and automation, sensors, and actuators. He has authored over 180 research articles in these fields, with several earning nominations for or winning Best Paper Awards at prestigious conferences, including ICRA, IROS, AIM, ROMAN, and ROBIO. He has also been a recipient of the NSF CAREER Award.