TY - JOUR
T1 - Simple coarse sensing to achieve high precision from attractive region in environment to constrained region in environment
AU - Qiao, Hong
AU - Ma, Chao
AU - Li, Rui
AU - Li, Xiaoqing
AU - Chen, Ziyu
AU - Wu, Wei
AU - Xu, Lijin
N1 - Publisher Copyright:
© 2017 The Author(s).
PY - 2017/1/1
Y1 - 2017/1/1
N2 - As a fundamental yet urgent issue, achieving high-precision robotic manipulation is becoming an active research area. Unfortunately, it is practically impossible to obtain an unlimited increase in sensor accuracy. In contrast, sensor-less manipulation approaches have attracted considerable attention. In particular, the concept of attractive region in environment has achieved encouraging results. Moreover, note that certain information cannot be captured directly from the sensors. With the above observations and inspired by the behaviour mechanism of human beings when accomplishing complex operations, this article proposed a novel bio-inspired co-sensing framework, which aims to solve the high-precision sensing problem by simple coarse sensors. One of the distinguishing features of the established framework is the constrained region in environment, the key idea of which is the integration of the relaxed constraint and the coarse sensor information. An illustrative example is provided to demonstrate the effectiveness and benefits of our theoretical findings.
AB - As a fundamental yet urgent issue, achieving high-precision robotic manipulation is becoming an active research area. Unfortunately, it is practically impossible to obtain an unlimited increase in sensor accuracy. In contrast, sensor-less manipulation approaches have attracted considerable attention. In particular, the concept of attractive region in environment has achieved encouraging results. Moreover, note that certain information cannot be captured directly from the sensors. With the above observations and inspired by the behaviour mechanism of human beings when accomplishing complex operations, this article proposed a novel bio-inspired co-sensing framework, which aims to solve the high-precision sensing problem by simple coarse sensors. One of the distinguishing features of the established framework is the constrained region in environment, the key idea of which is the integration of the relaxed constraint and the coarse sensor information. An illustrative example is provided to demonstrate the effectiveness and benefits of our theoretical findings.
KW - Attractive region in environment (ARIE)
KW - Constrained region in environment (CRIE)
KW - High-precision robotic manipulation
UR - https://www.scopus.com/pages/publications/85034597012
U2 - 10.1080/21642583.2016.1274244
DO - 10.1080/21642583.2016.1274244
M3 - 文章
AN - SCOPUS:85034597012
SN - 2164-2583
VL - 5
SP - 16
EP - 24
JO - Systems Science and Control Engineering
JF - Systems Science and Control Engineering
IS - 1
ER -