TY - JOUR
T1 - Exploiting Adaptability in Soft Feet for Sensing Contact Forces
AU - Mura, Domenico
AU - Santina, Cosimo Della
AU - Piazza, Cristina
AU - Frizza, Irene
AU - Morandi, Cecilia
AU - Garabini, Manolo
AU - Grioli, Giorgio
AU - Catalano, Manuel Giuseppe
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2020/4
Y1 - 2020/4
N2 - The large majority of legged robots currently employ ball-feet or flat-feet. More recently soft feet have been introduced, to improve walking performance on uneven grounds. Nevertheless, their novel adaptability requires sensor systems beyond traditional Force/Torque sensors to estimate the distribution of forces on the contact surface. This letter shows how a perception layer realized with Inertial Measurement Units allows a soft foot to reconstruct not only the shape of the foot-hinting at the shape of the ground beneath-but also, under precise hypotheses, the contact force distribution. The problem is theoretically formalized and analysed with a quasi-static approach in the Sagittal plane. Then, theoretical results are experimentally validated in a simplified foot-ground interaction scenario. The force reconstruction provided by the proposed method allows to correctly identify the sole contact location arising from obstacles with radius down to 1 cm.
AB - The large majority of legged robots currently employ ball-feet or flat-feet. More recently soft feet have been introduced, to improve walking performance on uneven grounds. Nevertheless, their novel adaptability requires sensor systems beyond traditional Force/Torque sensors to estimate the distribution of forces on the contact surface. This letter shows how a perception layer realized with Inertial Measurement Units allows a soft foot to reconstruct not only the shape of the foot-hinting at the shape of the ground beneath-but also, under precise hypotheses, the contact force distribution. The problem is theoretically formalized and analysed with a quasi-static approach in the Sagittal plane. Then, theoretical results are experimentally validated in a simplified foot-ground interaction scenario. The force reconstruction provided by the proposed method allows to correctly identify the sole contact location arising from obstacles with radius down to 1 cm.
KW - Soft robotics
KW - legged locomotion
KW - robot sensing systems
KW - robotic foot design
UR - http://www.scopus.com/inward/record.url?scp=85077969299&partnerID=8YFLogxK
U2 - 10.1109/LRA.2019.2952292
DO - 10.1109/LRA.2019.2952292
M3 - Article
AN - SCOPUS:85077969299
SN - 2377-3766
VL - 5
SP - 391
EP - 398
JO - IEEE Robotics and Automation Letters
JF - IEEE Robotics and Automation Letters
IS - 2
M1 - 8894422
ER -