scholarly journals A survey of autonomous self-reconfiguration methods for robot-based programmable matter

2019 ◽  
Vol 120 ◽  
pp. 103242 ◽  
Author(s):  
Pierre Thalamy ◽  
Benoît Piranda ◽  
Julien Bourgeois
Keyword(s):  
2011 ◽  
Author(s):  
Daniela Rus ◽  
Erik Demaine ◽  
Ron Fearing ◽  
Ali Javey ◽  
Rob Wood ◽  
...  
Keyword(s):  
Phase 2 ◽  

Author(s):  
Joshua J. Daymude ◽  
Robert Gmyr ◽  
Kristian Hinnenthal ◽  
Irina Kostitsyna ◽  
Christian Scheideler ◽  
...  

Author(s):  
Zahra Derakhshandeh ◽  
Robert Gmyr ◽  
Andrea W. Richa ◽  
Christian Scheideler ◽  
Thim Strothmann

1991 ◽  
Vol 47 (1-2) ◽  
pp. 263-272 ◽  
Author(s):  
Tommaso Toffoli ◽  
Norman Margolus
Keyword(s):  

2016 ◽  
Vol 113 (41) ◽  
pp. E6007-E6015 ◽  
Author(s):  
Guo Zhan Lum ◽  
Zhou Ye ◽  
Xiaoguang Dong ◽  
Hamid Marvi ◽  
Onder Erin ◽  
...  

Shape-programmable matter is a class of active materials whose geometry can be controlled to potentially achieve mechanical functionalities beyond those of traditional machines. Among these materials, magnetically actuated matter is particularly promising for achieving complex time-varying shapes at small scale (overall dimensions smaller than 1 cm). However, previous work can only program these materials for limited applications, as they rely solely on human intuition to approximate the required magnetization profile and actuating magnetic fields for their materials. Here, we propose a universal programming methodology that can automatically generate the required magnetization profile and actuating fields for soft matter to achieve new time-varying shapes. The universality of the proposed method can therefore inspire a vast number of miniature soft devices that are critical in robotics, smart engineering surfaces and materials, and biomedical devices. Our proposed method includes theoretical formulations, computational strategies, and fabrication procedures for programming magnetic soft matter. The presented theory and computational method are universal for programming 2D or 3D time-varying shapes, whereas the fabrication technique is generic only for creating planar beams. Based on the proposed programming method, we created a jellyfish-like robot, a spermatozoid-like undulating swimmer, and an artificial cilium that could mimic the complex beating patterns of its biological counterpart.


2018 ◽  
Vol 17 (4) ◽  
pp. 723-741 ◽  
Author(s):  
Marta Andrés Arroyo ◽  
Sarah Cannon ◽  
Joshua J. Daymude ◽  
Dana Randall ◽  
Andréa W. Richa

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 207619-207634 ◽  
Author(s):  
Gianlorenzo D'Angelo ◽  
Mattia D'Emidio ◽  
Shantanu Das ◽  
Alfredo Navarra ◽  
Giuseppe Prencipe

Author(s):  
Zhihao Yuan ◽  
Jaehyung Ju

Programmable matter, a material whose properties can be programmed to achieve desired density with volume change, shapes or structural properties (stiffness, strength, Poisson’s ratio, etc.) upon command, is an important technology for intelligent materials. Recently emerging soft robotics-based pneumatic control can be potentially used for the design of programmable matter due to its several advantages — quick response for actuation, stiffening effect with internal air pressure, easy to manufacture, inexpensive materials, etc. The objective of this work is to construct programmable two-dimensional (2D) cellular structures with pneumatic actuators, investigating the effect of local deformation of the pneumatic actuators on the macroscopic pattern generation and mechanical properties of cellular structures. We synthesize 2D soft triangular structures with pneumatic actuators embedding dual air channels wrapped with fiber reinforcement. The local deformation modes provide different macroscopic deformations of cellular structures. We build an analytical model integrating the deformation of a single actuating member with nonlinear deformation of cellular structures. Finite element based simulations and experimental validation are followed. This study integrates soft robotics with cellular structures for intelligent materials design, expanding the design space of materials with programming. The fast response of the tunable soft cellular structures may be an ideal for the application of acoustic metamaterials with tunable band gaps.


Algorithmica ◽  
2020 ◽  
Author(s):  
Sándor P. Fekete ◽  
Robert Gmyr ◽  
Sabrina Hugo ◽  
Phillip Keldenich ◽  
Christian Scheffer ◽  
...  

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