Feedback Control of Soft Robot Actuators via Commercial Flex Bend Sensors

被引:173
作者
Gerboni, Giada [1 ]
Diodato, Alessandro [2 ]
Ciuti, Gastone [2 ]
Cianchetti, Matteo [2 ]
Menciassi, Arianna [2 ]
机构
[1] Stanford Univ, Dept Mech Engn, Stanford, CA 94035 USA
[2] Scuola Super Sant Anna, Biorobot Inst, I-56025 Pisa, Italy
关键词
Closed loop systems; feedback control systems; medical robotics; pneumatic actuators; soft robotics;
D O I
10.1109/TMECH.2017.2699677
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Soft robotics is an emerging field that takes advantage of compliant materials and makes use of nonstandard actuators. Flexible fluid actuators (FFAs) use fluid pressure to produce high deformation of elastomeric-based structures. However, closed-loop control of such actuators is still very challenging due to the lack of robust, reliable, and inexpensive sensors that can be integrated onto highly deformable actuator structures, involving very low cost materials and manufacturing. This paper presents a systematic approach to implement the feedback control of FFA-based soft robotic bending modules by using commercial flex bend sensors. A flex bend sensor detects the module curvature in one direction, and its response is processed by an on board microcontroller and sent to the central control system. Such sensor integration enables the closed-loop control of modular robotic architectures, often used in soft robotics. Once integrated with the soft module, the sensor response was calibrated by the use of a ground truth electro-magnetic tracking system in order to characterize its behavior when combined with the relative FFA. A feedback control using a low-pass filter and a proportional-integral controller was designed and used to evaluate the dynamic response and the position accuracy of the integrated module. With such closed-loop control, the module tip is positioned with less than 1 mm accuracy, which can be considered a relevant result in the soft robotics field.
引用
收藏
页码:1881 / 1888
页数:8
相关论文
共 27 条
[1]  
[Anonymous], 2005, J NEUROENG REHABIL
[2]   Total mesorectal excision using a soft and flexible robotic arm: a feasibility study in cadaver models [J].
Arezzo, Alberto ;
Mintz, Yoav ;
Allaix, Marco Ettore ;
Arolfo, Simone ;
Bonino, Marco ;
Gerboni, Giada ;
Brancadoro, Margherita ;
Cianchetti, Matteo ;
Menciassi, Arianna ;
Wurdemann, Helge ;
Noh, Yohan ;
Althoefer, Kaspar ;
Fras, Jan ;
Glowka, Jakob ;
Nawrat, Zbigniew ;
Cassidy, Gavin ;
Walker, Rich ;
Morino, Mario .
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, 2017, 31 (01) :264-273
[3]  
Astrom K. J., 1995, PID CONTROLLERS THEO, V10
[4]   A spatial bending fluidic actuator: fabrication and quasi-static characteristics [J].
Chang, Benjamin ;
Chew, Allison ;
Naghshineh, Nastaran ;
Menon, Carlo .
SMART MATERIALS AND STRUCTURES, 2012, 21 (04)
[5]   A Soft Strain Sensor Based on Ionic and Metal Liquids [J].
Chossat, Jean-Baptiste ;
Park, Yong-Lae ;
Wood, Robert J. ;
Duchaine, Vincent .
IEEE SENSORS JOURNAL, 2013, 13 (09) :3405-3414
[6]   Soft Robotics Technologies to Address Shortcomings in Today's Minimally Invasive Surgery: The STIFF-FLOP Approach [J].
Cianchetti, Matteo ;
Ranzani, Tommaso ;
Gerboni, Giada ;
Nanayakkara, Thrishantha ;
Althoefer, Kaspar ;
Dasgupta, Prokar ;
Menciassi, Arianna .
SOFT ROBOTICS, 2014, 1 (02) :122-131
[7]   Contraction Sensing With Smart Braid McKibben Muscles [J].
Felt, Wyatt ;
Chin, Khai Yi ;
Remy, C. David .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2016, 21 (03) :1201-1209
[8]  
Fras J, 2015, IEEE INT CONF ROBOT, P2901, DOI 10.1109/ICRA.2015.7139595
[9]   Modular soft mechatronic manipulator for minimally invasive surgery (MIS): overall architecture and development of a fully integrated soft module [J].
Gerboni, Giada ;
Ranzani, Tommaso ;
Diodato, Alessandro ;
Ciuti, Gastone ;
Cianchetti, Matteo ;
Menciassi, Arianna .
MECCANICA, 2015, 50 (11) :2865-2878
[10]   Neural Network and Jacobian Method for Solving the Inverse Statics of a Cable-Driven Soft Arm With Nonconstant Curvature [J].
Giorelli, Michele ;
Renda, Federico ;
Calisti, Marcello ;
Arienti, Andrea ;
Ferri, Gabriele ;
Laschi, Cecilia .
IEEE TRANSACTIONS ON ROBOTICS, 2015, 31 (04) :823-834