Abstract
Robotic manipulators can be found today in most industries, from autonomous warehouses to advanced assembly lines in factories. Most of these industrial robots are characterized by having non-flexible and highly rigid links. In dense and complex environments these manipulators require many degrees of freedom (DOFs) which complicates the mechanical structure of the manipulator, as well as the control and path planning algorithms. In this work we present a minimalistic approach to reduce the number of active DOFs by using non-rigid, Hyper-Flexible Manipulators (HFM). We introduce a dynamic model of the HFM as well as a control scheme to bring the end-effector to a desired position from known initial configuration. Finally, we present experiments that support the analytic part and simulative results of this paper.
| Original language | English |
|---|---|
| Title of host publication | 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020 |
| Pages | 8897-8902 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728162126 |
| DOIs | |
| State | Published - 24 Oct 2020 |
| Event | 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020 - Las Vegas, United States Duration: 24 Oct 2020 → 24 Jan 2021 |
Publication series
| Name | IEEE International Conference on Intelligent Robots and Systems |
|---|
Conference
| Conference | 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020 |
|---|---|
| Country/Territory | United States |
| City | Las Vegas |
| Period | 24/10/20 → 24/01/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Computer Vision and Pattern Recognition
- Computer Science Applications
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