Title |
Soft Robotics: New Perspectives for Robot Bodyware and Control
|
---|---|
Published in |
Frontiers in Bioengineering and Biotechnology, January 2014
|
DOI | 10.3389/fbioe.2014.00003 |
Pubmed ID | |
Authors |
Cecilia Laschi, Matteo Cianchetti |
Abstract |
The remarkable advances of robotics in the last 50 years, which represent an incredible wealth of knowledge, are based on the fundamental assumption that robots are chains of rigid links. The use of soft materials in robotics, driven not only by new scientific paradigms (biomimetics, morphological computation, and others), but also by many applications (biomedical, service, rescue robots, and many more), is going to overcome these basic assumptions and makes the well-known theories and techniques poorly applicable, opening new perspectives for robot design and control. The current examples of soft robots represent a variety of solutions for actuation and control. Though very first steps, they have the potential for a radical technological change. Soft robotics is not just a new direction of technological development, but a novel approach to robotics, unhinging its fundamentals, with the potential to produce a new generation of robots, in the support of humans in our natural environments. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 2 | 33% |
Italy | 1 | 17% |
Germany | 1 | 17% |
Russia | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | <1% |
Germany | 2 | <1% |
Spain | 2 | <1% |
Japan | 1 | <1% |
Unknown | 499 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 120 | 24% |
Student > Master | 70 | 14% |
Student > Bachelor | 52 | 10% |
Researcher | 40 | 8% |
Student > Doctoral Student | 29 | 6% |
Other | 79 | 16% |
Unknown | 117 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 280 | 55% |
Materials Science | 23 | 5% |
Computer Science | 14 | 3% |
Physics and Astronomy | 10 | 2% |
Chemistry | 9 | 2% |
Other | 39 | 8% |
Unknown | 132 | 26% |