Soft robotics: Technologies and systems pushing the boundaries of robot abilities

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Control Strategies for Soft Robotic Manipulators: A Survey (2018, neutral): “’’ This term is associated with two distinct design approaches: (1) compliant joints (active or passive) within rigid-link robots(1,2) and (2) continuum robotic manipulators.(3) The discussion in this article is restricted to the latter one.”
Model-Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges (2021, background): “Of the many review articles about soft robotics [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], only [11] is focused on the control challenge, which does not follow a model-based approach.”
Model-Based Reinforcement Learning for Closed-Loop Dynamic Control of Soft Robotic Manipulators (2019, neutral): “models of these high-dimensional manipulators [1], [2].”
Soft robot perception using embedded soft sensors and recurrent neural networks (2019, background): “With the rise of soft robotics and the complexities involved with modeling and development of soft robots (1, 2), we are presented with new challenges in perception.”
Ferromagnetic soft continuum robots (2019, background): “Recently, burgeoning efforts have been made to use soft-bodied robots in the medical domain, with great expectations for enhanced safety due to their inherent compliance (1, 3, 23, 24).”
The grand challenges of Science Robotics (2018, background): “Image credits: Octobot (4); RoboBee, Wyss Institute at”