A flexible and collaborative approach to robotic box-filling and item sorting
In this paper, we introduce an adaptive robotic manipulation framework to respond to the flexibility needs of common industrial tasks such as box-filling and item sorting. The proposed framework consists of a vision module and a robot control module. The vision module is responsible for the detectio...
Saved in:
Published in | Robotics and autonomous systems Vol. 146; p. 103888 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.12.2021
|
Subjects | |
Online Access | Get full text |
ISSN | 0921-8890 1872-793X |
DOI | 10.1016/j.robot.2021.103888 |
Cover
Loading…
Summary: | In this paper, we introduce an adaptive robotic manipulation framework to respond to the flexibility needs of common industrial tasks such as box-filling and item sorting. The proposed framework consists of a vision module and a robot control module. The vision module is responsible for the detection and tracking of the environment (e.g., box and the items), which is also capable of creating an occupancy grid in real-time, to continuously update the robot trajectory planner with the occupied portions of the detected box and their coordinates. The robot control module includes a trajectory planner and a self-tuning Cartesian impedance controller, to implement an adaptive strategy for the picking, placement, and sorting of the items in the box. The item-sorting strategy is based on our preliminary observations on human motor behavior, implementing a trade-off between the task execution accuracy and environmental perception uncertainty. The efficacy of the framework in performing a flexible box-filling task using a robot, autonomously or in collaboration with a human, is evaluated through several experiments.
[Display omitted]
•An item-sorting strategy is defined based on observations on 15 human subjects.•An adaptive robotic framework is developed for items picking, placement, and sorting.•This can be done autonomously or in collaboration with a human.•The vision module creates an occupancy grid in real-time, to update the robot planner. |
---|---|
ISSN: | 0921-8890 1872-793X |
DOI: | 10.1016/j.robot.2021.103888 |