Add to ORKGInternational audienceThis paper presents a mini-review on our previous work presented in ref. [1-6] in which the neural networks (NNs) were used for estimating and then detecting the robot's collisions with the human operator during the cooperation task. This review investigates and compares the designed NN architectures, their application, the resulted mean squared error (MSE) from training, and their effectiveness (%) in detecting the robot's collisions. This review reveals that the NN is an effective method in estimating and detecting the human-robot collisions
The demand for robots to work in environments together with humans is growing. This calls for new re...
The demand for robots to work in environments together with humans is growing. This calls for new re...
This article is dedicated to developing an online collision detection and identification (CDI) schem...
International audienceThis paper presents a mini-review on our previous work presented in ref. [1-6]...
Due to the epidemic threat, more and more companies decide to automate their production lines. Given...
A neural ntwork is proposed for collision detection among multiple robotic arms sharing a common wor...
With increased human–robot interactions in industrial settings, a safe and reliable collision detect...
With increased human–robot interactions in industrial settings, a safe and reliable collision detect...
Background: Safety is the very necessary issue that must be considered during human-robot collaborat...
Collision detection is an important problem for safe use of collaborative robots around humans. Alth...
By applying robots while collaborating with a human in an industrial setting to provide more flexibl...
Abstract Human-robot co-operation becomes increasingly frequent due to the widespread use of service...
Motor vehicle collisions are a common cause of deaths or/and injuries. The key to lowering the death...
A collaborative robot, or cobot, is an efficient robot that can work alongside human workers in the ...
Human-robot collaboration has been an advancing topic throughout the years. Therefore for human-robo...
The demand for robots to work in environments together with humans is growing. This calls for new re...
The demand for robots to work in environments together with humans is growing. This calls for new re...
This article is dedicated to developing an online collision detection and identification (CDI) schem...
International audienceThis paper presents a mini-review on our previous work presented in ref. [1-6]...
Due to the epidemic threat, more and more companies decide to automate their production lines. Given...
A neural ntwork is proposed for collision detection among multiple robotic arms sharing a common wor...
With increased human–robot interactions in industrial settings, a safe and reliable collision detect...
With increased human–robot interactions in industrial settings, a safe and reliable collision detect...
Background: Safety is the very necessary issue that must be considered during human-robot collaborat...
Collision detection is an important problem for safe use of collaborative robots around humans. Alth...
By applying robots while collaborating with a human in an industrial setting to provide more flexibl...
Abstract Human-robot co-operation becomes increasingly frequent due to the widespread use of service...
Motor vehicle collisions are a common cause of deaths or/and injuries. The key to lowering the death...
A collaborative robot, or cobot, is an efficient robot that can work alongside human workers in the ...
Human-robot collaboration has been an advancing topic throughout the years. Therefore for human-robo...
The demand for robots to work in environments together with humans is growing. This calls for new re...
The demand for robots to work in environments together with humans is growing. This calls for new re...
This article is dedicated to developing an online collision detection and identification (CDI) schem...