TY - GEN
T1 - From humans to robots
T2 - 9th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2017
AU - Averta, Giuseppe
AU - Santina, Cosimo Della
AU - Battaglia, Edoardo
AU - Ciotti, Simone
AU - Arapi, Visar
AU - Fani, Simone
AU - Bianchi, Matteo
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Human hands are capable of a variety of movements, thanks to their extraordinary biomechanical structure and relying on the richness of human tactile information. Recently, soft robotic hands have opened exciting possibilities and, at the same time, new issues related to planning and control. In this work, we propose to study human strategies in environmental constraint exploitation to grasp objects from a table. We have considered both the case where participants' fingertips were free and with a rigid shell worn on them to understand the role of cutaneous touch. Main kinematic strategies were quantified and classified in an unsupervised manner. The principal strategies appear to be consistent in both experimental conditions, although cluster cardinality differs. Furthermore, as expected, tactile feedback improves both grasp precision and quality performance. Results opens interesting perspective for sensing and control of soft manipulators.
AB - Human hands are capable of a variety of movements, thanks to their extraordinary biomechanical structure and relying on the richness of human tactile information. Recently, soft robotic hands have opened exciting possibilities and, at the same time, new issues related to planning and control. In this work, we propose to study human strategies in environmental constraint exploitation to grasp objects from a table. We have considered both the case where participants' fingertips were free and with a rigid shell worn on them to understand the role of cutaneous touch. Main kinematic strategies were quantified and classified in an unsupervised manner. The principal strategies appear to be consistent in both experimental conditions, although cluster cardinality differs. Furthermore, as expected, tactile feedback improves both grasp precision and quality performance. Results opens interesting perspective for sensing and control of soft manipulators.
KW - Grasp
KW - Haptic Impairment
KW - Human and robot hands
KW - Manipulation
UR - http://www.scopus.com/inward/record.url?scp=85045334224&partnerID=8YFLogxK
U2 - 10.1109/ICUMT.2017.8255117
DO - 10.1109/ICUMT.2017.8255117
M3 - Conference contribution
AN - SCOPUS:85045334224
T3 - International Congress on Ultra Modern Telecommunications and Control Systems and Workshops
SP - 179
EP - 184
BT - 2017 9th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2017
PB - IEEE Computer Society
Y2 - 6 November 2017 through 8 November 2017
ER -