Instrumentation & Measurement Magazine 26-2 - 56

[7] B. Wang, X. Xiong, J. Duan, Z. Wang, and Z. Dai, " Compliant
detachment of wall-climbing robot unaffected by adhesion state, "
Applied Sci., vol. 11, no. 13, p. 5860, 2021.
[8] A. Schneider, H. Cruse, B. Fischer, and J. Schmitz, " A selfadjusting
negative feedback joint controller for legs standing on
moving substrates of unknown compliance, " in Bioengineered and
Bioinspired Systems III, vol. 6592. Bellingham, Washington, USA:
International Society for Optics and Photonics, p. 65920M, 2007.
[9] R. Vidoni and A. Gasparetto, " Efficient force distribution and leg
posture for a bio-inspired spider robot, " Robotics and Autonomous
Syst., vol. 59, no. 2, pp. 142-150, 2011.
[10] Q. -J. Huang, " Neuro-based position and force hybrid control
of six-legged walking robot, " J. Robotics Mechatron., vol. 14, pp.
534-543, 2002.
[11] Q. -J. Huang and K. Nonami, " Humanitarian mine detecting
six-legged walking robot and hybrid neuro walking control with
position/force control, " Mechatronics, vol. 13, no. 8-9, pp. 773-790,
2003.
[12] J. Li, J. Wang, S. X. Yang et al., " Gait planning and stability control
of a quadruped robot, " J. Comput. Intell. Neurosci., article 9853070,
Apr. 2016.
[13] W. Zhongyuan et al., " Adhesion performance test and trajectory
optimization for gecko-inspired footpad under simulated
micro-gravity environment, " Chinese Science Bulletin, vol. 62, pp.
2149-2156, 2017.
[14] Y. Gu, Q. Bian, B. Wang et al. " Design of a footend three axis force
sensing module for geckolike robot, " Trans. Nanjing University of
Aeronautics and Astronautics, 2020.
[15] J. Duan, Y. Gan, M. Chen, and X. Dai, " Adaptive variable
impedance control for dynamic contact force tracking in
uncertain environment, " Robotics and Autonomous Syst., vol. 102,
pp. 54-65, 2018.
[16] E. W. Hawkes, J. Ulmen, N. Esparza, and M. R. Cutkosky, " Scaling
walls: applying dry adhesives to the real world, " in Proc. 2011
IEEE/RSJ Int. Conf. Intelligent Robots and Syst., pp. 5100-5106, 2011.
Jinjun Duan (duan-jinjun@nuaa.edu.cn) is Assistant Professor
at the Nanjing University of Aeronautics and Astronautics,
Nanjing, China. He received the bachelor and master degree
in computer science from Taiyuan University of Technology,
Taiyuan, China in 2007 and 2011, respectively. He earned the
Ph.D. degree in control science and engineering from Southeast
University, Nanjing, China in 2019. His research interests
cover intelligent control system, wall-climbing robot control,
position/force control, multiple robots cooperation and artificial
intelligence.
Bingcheng Wang (bishop-222@nuaa.edu.cn) is currently a
Doctoral Student in the Nanjing University of Aeronautics and
Astronautics, Nanjing, China. His research interests include
bionic robots, wall-climbing robots, and adhesion mechanics.
He received the bachelor degree from Shandong University,
Shandong, China in 2017 and the master degree from Nanjing
University of Aeronautics and Astronautics, Nanjing, China
in 2020.
Baolin Ji works as an Engineer at the College of Astronautics
at Nanjing University of Aeronautics and Astronautics, Nanjing,
China, where he obtained received the master's degree
in 2022. His research interests include bionic robots, and wallclimbing
robots.
Weidong Sun is currently a Graduate Student in the College of
Mechanical and Electrical Engineering, Nanjing University of
Aeronautics and Astronautics, Nanjing, China. His research
interests include bionic robots and robot control.
Zhouyi Wang works at the College of Astronautics at Nanjing
University of Aeronautics and Astronautics, Nanjing, China,
where he obtained his doctorate degree in 2015 from the College
of Mechanical and Electrical Engineering. His research
interests include tribology, bionics, animal kinematics, and
dynamics.
Zhendong Dai is a Professor at the College of Mechanical
and Electrical Engineering, Nanjing University of Aeronautics
and Astronautics, Nanjing, China, where obtained his
doctorate degree in 1999. His research areas include bionics,
light material, control of bionics, bio-robots, and biological
robots.
56
IEEE Instrumentation & Measurement Magazine
April 2023
Instrumentation & Measurement Magazine 26-2

Table of Contents for the Digital Edition of Instrumentation & Measurement Magazine 26-2
