Control Strategies for Soft Robotic Manipulators: A Survey

By Thomas George Thuruthel, Yasmin Ansari, Egidio Falotico, Cecilia Laschi. Soft Robotics, 2018

588 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/9566ba88a71adb87070db520eab5f2f41276e1ba

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Daniela Rus
2. Cosimo Della Santina
3. Christian Duriez

In Control and Systems Engineering

1. Daniela Rus
2. Cosimo Della Santina
3. Christian Duriez

In Mechanical Engineering

1. Daniela Rus
2. Cosimo Della Santina
3. Christian Duriez

Citations in the corpus

• Model-Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges (2021, background): “Of the many review papers about soft robotics [1]–[10], only [11] is focused on the control challenge, which is, however, not focused on the model-based approach.”
• Model-Based Reinforcement Learning for Closed-Loop Dynamic Control of Soft Robotic Manipulators (2019, unknown): “models of these high-dimensional manipulators [1], [2].”