Grasp Planning Based on Metrics for Collaborative Tasks Using Optimization

In recent years, technological developments in the field of robotics have expanded their application spectrum to encompass tasks that involve human inclusion in the same workspace. One of the challenges of robotics collaboration is the issue of how a robot and a human can perform daily collaborative...

Full description

Saved in:
Bibliographic Details
Published inApplied sciences Vol. 13; no. 17; p. 9603
Main Authors Zafra-Urrea, Ronald Miguel, López-Damian, Efraín, Santana-Díaz, Alfredo
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2023
Subjects
Academic disciplines
Algorithms
Collaboration
grasp optimization
human–robot collaboration
inertial heuristic metric
Optimization algorithms
Planning
Robotics
Robots
Online AccessGet full text

Cover

More Information
Summary:In recent years, technological developments in the field of robotics have expanded their application spectrum to encompass tasks that involve human inclusion in the same workspace. One of the challenges of robotics collaboration is the issue of how a robot and a human can perform daily collaborative tasks, like manipulation of an object. One significant specific problem to solve is where the robot can grasp the object knowing the human grasping points. This research proposes a planning algorithm to find a robot grasping point based on geometric grasp metrics as well as a new heuristic metric focused on the intrinsic inertia in multi-directional object movement. We propose three grasping points: two points emulating each human hand, positioned anywhere on the object and one last point, referencing the robot, which will be optimized as a multi-objective (MO) function problem. The planner was tested using common objects present in human environments (a chair and a table).
ISSN:2076-3417
2076-3417
DOI:10.3390/app13179603