Title |
Soft robotics: a bioinspired evolution in robotics
|
---|---|
Published in |
Trends in Biotechnology, April 2013
|
DOI | 10.1016/j.tibtech.2013.03.002 |
Pubmed ID | |
Authors |
Sangbae Kim, Cecilia Laschi, Barry Trimmer |
Abstract |
Animals exploit soft structures to move effectively in complex natural environments. These capabilities have inspired robotic engineers to incorporate soft technologies into their designs. The goal is to endow robots with new, bioinspired capabilities that permit adaptive, flexible interactions with unpredictable environments. Here, we review emerging soft-bodied robotic systems, and in particular recent developments inspired by soft-bodied animals. Incorporating soft technologies can potentially reduce the mechanical and algorithmic complexity involved in robot design. Incorporating soft technologies will also expedite the evolution of robots that can safely interact with humans and natural environments. Finally, soft robotics technology can be combined with tissue engineering to create hybrid systems for medical applications. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 17% |
Belgium | 1 | 17% |
France | 1 | 17% |
United Kingdom | 1 | 17% |
India | 1 | 17% |
United States | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 1 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | <1% |
United Kingdom | 5 | <1% |
Netherlands | 3 | <1% |
Germany | 3 | <1% |
Switzerland | 2 | <1% |
France | 2 | <1% |
Austria | 2 | <1% |
Spain | 2 | <1% |
Japan | 2 | <1% |
Other | 7 | <1% |
Unknown | 1908 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 453 | 23% |
Student > Master | 321 | 17% |
Student > Bachelor | 208 | 11% |
Researcher | 180 | 9% |
Student > Doctoral Student | 104 | 5% |
Other | 216 | 11% |
Unknown | 462 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 968 | 50% |
Materials Science | 109 | 6% |
Computer Science | 70 | 4% |
Agricultural and Biological Sciences | 45 | 2% |
Chemistry | 44 | 2% |
Other | 180 | 9% |
Unknown | 528 | 27% |