Following papers citing Dynamic Model of the Octopus Arm. I. Biomechanics of the Octopus Reaching Movement (Yoram Yekutieli, Roni Sagiv-Zohar, Ranit Aharonov, Yaakov Engel, Binyamin Hochner, and Tamar Flash. Dynamic Model of the Octopus Arm. I. Biomechanics of the Octopus Reaching Movement. Journal of Neurophysiology, 94(2):1443–1458, August 2005. doi:10.1152/jn.00684.2004.)
To find these papers, I searched via DOI on Web of Science and used the Citations tool to view related papers.
Control Strategies for Soft Robot Systems
This review covers the potential control systems for soft robotics–which are difficult to control due to their infinite degrees of freedom–including open-loop control (predicting how the robot will react to movement instructions), closed-loop control (using sensors to track the movement of the robot), and autonomous control (letting the robot control itself using a “brain”).
Wang, J. and Chortos, A. (2022), Control Strategies for Soft Robot Systems. Adv. Intell. Syst., 4: 2100165. https://doi.org/10.1002/aisy.202100165.
Digital light processing of liquid crystal elastomers for self-sensing artificial muscles
This paper evaluates liquid crystal elastomer (LCE) material for the purpose of creating artificial muscles, specifically focusing on replicating natural muscle tissue’s ability to use sensing feedback, which LCEs are able to somewhat do by way of digital light processing thermal actuation.
Shuo Li, Hedan Bai, Zheng Liu, Xinyue Zhang, Chuqi Huang, Lennard W. Wiesner, Meredith Silberstein, and Robert F. Shepherd. Digital light processing of liquid crystal elastomers for self-sensing artificial muscles. Science Advances, Vol 7, Issue 30, 23 Jul 2021. DOI: 10.1126/sciadv.abg3677.