TY - JOUR
T1 - Energy-efficient robot applications towards sustainable manufacturing
AU - Wang, Lihui
AU - Mohammed, Abdullah
AU - Wang, Xi Vincent
AU - Schimdt, Bernard
PY - 2018/8
Y1 - 2018/8
N2 - The cloud technology provides sustainable solutions to the modern industrial robotic cells. Within the context, the objective of this research is to minimise the energy consumption of robots during assembly in a cloud environment. Given a robot path and based on the inverse kinematics and dynamics of the robot from the cloud, a set of feasible configurations of the robot can be derived, followed by calculating the desirable forces and torques on the joints and links of the robot. Energy consumption is then calculated for each feasible configuration along the path. The ones with the lowest energy consumption are chosen. Since the energy-efficient robot configurations lead to reduced overall energy consumption, this approach becomes instrumental and can be applied to energy-efficient robotic assembly. This cloud-based energy-efficient approach for robotic applications can largely enhance the current practice as demonstrated by the results of three case studies, leading towards sustainable manufacturing.
AB - The cloud technology provides sustainable solutions to the modern industrial robotic cells. Within the context, the objective of this research is to minimise the energy consumption of robots during assembly in a cloud environment. Given a robot path and based on the inverse kinematics and dynamics of the robot from the cloud, a set of feasible configurations of the robot can be derived, followed by calculating the desirable forces and torques on the joints and links of the robot. Energy consumption is then calculated for each feasible configuration along the path. The ones with the lowest energy consumption are chosen. Since the energy-efficient robot configurations lead to reduced overall energy consumption, this approach becomes instrumental and can be applied to energy-efficient robotic assembly. This cloud-based energy-efficient approach for robotic applications can largely enhance the current practice as demonstrated by the results of three case studies, leading towards sustainable manufacturing.
UR - https://www.tandfonline.com/doi/full/10.1080/0951192X.2017.1379099
U2 - 10.1080/0951192X.2017.1379099
DO - 10.1080/0951192X.2017.1379099
M3 - Article
SN - 0951-192X
VL - 31
SP - 692
EP - 700
JO - International Journal of Computer Integrated Manufacturing
JF - International Journal of Computer Integrated Manufacturing
IS - 8
ER -