[HTML][HTML] Energy-efficient robot configuration and motion planning using genetic algorithm and particle swarm optimization
The implementation of Industry 5.0 necessitates a decrease in the energy consumption of
industrial robots. This research investigates energy optimization for optimal motion planning …
industrial robots. This research investigates energy optimization for optimal motion planning …
Optimization of the energy consumption of industrial robots for automatic code generation
M Gadaleta, M Pellicciari, G Berselli - Robotics and Computer-Integrated …, 2019 - Elsevier
At present, energy consumption strongly affects the financial payback period of industrial
robots, as well as the related manufacturing process sustainability. Henceforth, during both …
robots, as well as the related manufacturing process sustainability. Henceforth, during both …
Multi-robot information gathering for precision agriculture: Current state, scope, and challenges
Precision agriculture is the collection of hardware and software technologies that allow a
farmer to make informed, differentiated decisions regarding agricultural operations such as …
farmer to make informed, differentiated decisions regarding agricultural operations such as …
Coverage path planning with targetted viewpoint sampling for robotic free-form surface inspection
Surface metrology systems are increasingly used for inspecting dimensional quality in
manufacturing. The gauge of these measurement systems is often mounted as an end …
manufacturing. The gauge of these measurement systems is often mounted as an end …
Vision-based formation control of mobile robots with FOV constraints and unknown feature depth
In this the problem of leader-following tracking control of wheeled mobile robots with implicit
communication through onboard visual sensing is addressed. New image-based visual …
communication through onboard visual sensing is addressed. New image-based visual …
An energy-efficient approach for 3D printing with a Linear Delta Robot equipped with optimal springs
In this paper a novel approach for sustainable 3D printing with a Linear Delta Robot
equipped with elastic elements is presented and experimentally validated. Energy saving is …
equipped with elastic elements is presented and experimentally validated. Energy saving is …
Multi-robot multi-station cooperative spot welding task allocation based on stepwise optimization: An industrial case study
B Zhou, R Zhou, Y Gan, F Fang, Y Mao - Robotics and Computer-Integrated …, 2022 - Elsevier
The complicated task allocation, scheduling and planning problem with multiple stations and
multiple robots commonly seen in spot welding production line design is studied in this …
multiple robots commonly seen in spot welding production line design is studied in this …
An integrated processing energy modeling and optimization of automated robotic polishing system
The automated robotic polishing system (ARPS) consisting of several robotic polishing cells
(RPCs) is widely adopted in polishing industry to replace manual labor. Recently, energy …
(RPCs) is widely adopted in polishing industry to replace manual labor. Recently, energy …
[HTML][HTML] Analysis of obstacle avoidance strategy for dual-arm robot based on speed field with improved artificial potential field algorithm
H Zhang, Y Zhu, X Liu, X Xu - Electronics, 2021 - mdpi.com
In recent years, dual-arm robots have been favored in various industries due to their
excellent coordinated operability. One of the focused areas of study on dual-arm robots is …
excellent coordinated operability. One of the focused areas of study on dual-arm robots is …
Extensive experimental investigation for the optimization of the energy consumption of a high payload industrial robot with open research dataset
M Gadaleta, G Berselli, M Pellicciari… - Robotics and Computer …, 2021 - Elsevier
The optimization of the energy consumption of Industrial Robots (IRs) has been widely
investigated. Unfortunately, on the field, the prediction and optimization strategies of IRs …
investigated. Unfortunately, on the field, the prediction and optimization strategies of IRs …