TY - JOUR
T1 - BRL/Pisa/IIT SoftHand
T2 - A Low-Cost, 3D-Printed, Underactuated, Tendon-Driven Hand with Soft and Adaptive Synergies
AU - Li, Haoran
AU - Ford, Christopher J.
AU - Bianchi, Matteo
AU - Catalano, Manuel G.
AU - Psomopoulou, Efi
AU - Lepora, Nathan F.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2022/10/1
Y1 - 2022/10/1
N2 - This letter introduces the BRL/Pisa/IIT (BPI) SoftHand: a single actuator-driven, low-cost, 3D-printed, tendon-driven, underactuated robot hand that can be used to perform a range of grasping tasks. Based on the adaptive synergies of the Pisa/IIT SoftHand, we design a new joint system and tendon routing to facilitate the inclusion of both soft and adaptive synergies, which helps us balance durability, affordability and grasping performance of the hand. The focus of this work is on the design, simulation, synergies and grasping tests of this SoftHand. The novel phalanges are designed and printed based on linkages, gear pairs and geometric restraint mechanisms, and can be applied to most tendon-driven robotic hands. We show that the robot hand can successfully grasp and lift various target objects and adapt to hold complex geometric shapes, reflecting the successful adoption of the soft and adaptive synergies. We intend to open-source the design of the hand so that it can be built cheaply on a home 3D-printer.
AB - This letter introduces the BRL/Pisa/IIT (BPI) SoftHand: a single actuator-driven, low-cost, 3D-printed, tendon-driven, underactuated robot hand that can be used to perform a range of grasping tasks. Based on the adaptive synergies of the Pisa/IIT SoftHand, we design a new joint system and tendon routing to facilitate the inclusion of both soft and adaptive synergies, which helps us balance durability, affordability and grasping performance of the hand. The focus of this work is on the design, simulation, synergies and grasping tests of this SoftHand. The novel phalanges are designed and printed based on linkages, gear pairs and geometric restraint mechanisms, and can be applied to most tendon-driven robotic hands. We show that the robot hand can successfully grasp and lift various target objects and adapt to hold complex geometric shapes, reflecting the successful adoption of the soft and adaptive synergies. We intend to open-source the design of the hand so that it can be built cheaply on a home 3D-printer.
KW - Multi-fingered hands
KW - underactuated robots
UR - http://www.scopus.com/inward/record.url?scp=85133812528&partnerID=8YFLogxK
U2 - 10.1109/LRA.2022.3187876
DO - 10.1109/LRA.2022.3187876
M3 - Article
AN - SCOPUS:85133812528
SN - 2377-3766
VL - 7
SP - 8745
EP - 8751
JO - IEEE Robotics and Automation Letters
JF - IEEE Robotics and Automation Letters
IS - 4
ER -