Abstract
We propose an extension to the Task Priority Matrix (TPM) method for redundancy resolution that includes also hard inequality joint constraints. This is done by combining TPM with a modified version of the basic Saturation in the Null Space (SNS) algorithm. Comparative simulations are reported for the 21-DOFs Romeo humanoid robot.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Second Italian Conference on Robotics and Intelligent Machines 2020 |
| Number of pages | 2 |
| ISBN (Electronic) | 9788894580518 |
| Publication status | Published - 10 Dec 2020 |
| Event | 2nd Italian Conference on Robotics and Intelligent Machines - Online Duration: 10 Dec 2020 → 12 Dec 2020 Conference number: 2 https://i-rim.it/en/i-rim-conference-2020/ |
Conference
| Conference | 2nd Italian Conference on Robotics and Intelligent Machines |
|---|---|
| Abbreviated title | 2020 I-RIM |
| Period | 10/12/20 → 12/12/20 |
| Internet address |
Bibliographical note
Open accessKeywords
- Motion control
- redundant robots
- task priority
Fingerprint
Dive into the research topics of 'Task Priority Matrix Under Hard Joint Constraints'. Together they form a unique fingerprint.Activities
- 1 Participation in conference
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2nd Italian Conference on Robotics and Intelligent Machines
Al Khudir, K. (Contributor)
10 Dec 2020 → 12 Dec 2020Activity: Participating in or organising an event › Participation in conference
Research output
- 1 Conference proceeding
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Motion Control of Redundant Robots with Generalised Inequality Constraints
Kazemipour, A., Khatib, M., Al Khudir, K. & De Luca, A., 8 Oct 2021, 3rd Italian Conference on Robotics and Intelligent Machines. p. 138-140 3 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review
Open AccessFile
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