Development of an efficient and robust motion planning solution for hyper-redundant robotic manipulators

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  4. Development of an efficient and robust motion planning solution for hyper-redundant robotic manipulators
Starting date
October 1, 2022
Duration (months)
12
Departments
Computer Science
Managers or local contacts
Farinelli Alessandro

The project consists in the development and implementation of an efficient solution for kinematic inversion and motion planning for hyper-redundant manipulators (>15 degrees of freedom) used for infrastructure inspection. The solution will be based on the velocity obstacle paradigm, and the developed software module will be integrated with state-of-the-art tools for the control of robotic platforms (e.g., ROS).

Sponsors:

Hibot
Funds: assigned and managed by the department

Project participants

Alessandro Farinelli
Full Professor
Daniele Meli
Temporary Assistant Professor
Cristian Morasso
Scholarship holder
Research areas involved in the project
Sistemi intelligenti
Artificial intelligence

Activities

Research areas

Research groups

PhD Programmes

Research facilities

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