Litcius/Paper detail

A Practical and Effective Layout for a Safe Human-Robot Collaborative Assembly Task

Leonardo Sabatino Scimmi, Matteo Melchiorre, Mario Troise, Stefano Mauro, Stefano Pastorelli

2021Applied Sciences47 citationsDOIOpen Access PDF

Abstract

This work describes a layout to carry out a demonstrative assembly task, during which a collaborative robot performs pick-and-place tasks to supply an operator the parts that he/she has to assemble. In this scenario, the robot and operator share the workspace and a real time collision avoidance algorithm is implemented to modify the planned trajectories of the robot avoiding any collision with the human worker. The movements of the operator are tracked by two Microsoft Kinect v2 sensors to overcome problems related with occlusions and poor perception of a single camera. The data obtained by the two Kinect sensors are combined and then given as input to the collision avoidance algorithm. The experimental results show the effectiveness of the collision avoidance algorithm and the significant gain in terms of task times that the highest level of human-robot collaboration can bring.

Topics & Concepts

Collision avoidanceTask (project management)RobotComputer scienceWorkspaceOperator (biology)Computer visionArtificial intelligenceCollisionSimulationHuman–computer interactionReal-time computingEngineeringComputer securityTranscription factorRepressorSystems engineeringGeneBiochemistryChemistryRobot Manipulation and LearningRobotic Path Planning AlgorithmsTeleoperation and Haptic Systems