The challenges ahead for bio-inspired 'soft' robotics
By Rolf Pfeifer, Max Lungarella, Fumiya Iida. CACM, 2012
372 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Condensed Matter Physics, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/4beddf7c158792d7de5d41c8e2c7c3ee4029e656
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
- Matteo Cianchetti
- Daniela Rus
- Cecilia Laschi
- Cosimo Della Santina
- Christian Duriez
- Barbara Mazzolai
- Michael Thomas Tolley
In Condensed Matter Physics
In Mechanical Engineering
- Matteo Cianchetti
- Daniela Rus
- Cecilia Laschi
- Ravi R. Patel
- Cosimo Della Santina
- Sabina W. Ula
- Kai Yu
- N. A. Traugutt
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 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.”
- Liquid crystal elastomers: an introduction and review of emerging technologies (2018, background): “Electroactive polymers are capable of two-way shape changing [161,162], but a high voltage is typically needed for large deformation [157,163].”
- Flexible and Stretchable Electronics Paving the Way for Soft Robotics (2014, neutral): “49,50 One of the ultimate goals of modern robotics is their seamless interfacing with humans.”
- A Resilient, Untethered Soft Robot (2014, neutral): “13 In addition to their soft actuators, these previous untethered soft robots also contained rigid structural components and did not locomote in gaits that required lifting their masses against gravity.”
- Soft Robotics: New Perspectives for Robot Bodyware and Control (2014, positive): “…current thinking in robotics that fast, efficient, and robust behavior can be achieved by adequately exploiting material properties and in particular softness (Pfeifer et al., 2012), and that soft materials may enable us to automate tasks that are beyond capacities of current robotics technology.”