Tommaso Zinno
Comparative analysis of inverse kinematics strategies for effective control of redundant manipulators in collaborative robotics.
Rel. Stefano Paolo Pastorelli, Elisa Digo, Valerio Cornagliotto. Politecnico di Torino, Master of science program in Mechanical Engineering, 2025
|
Preview |
PDF (Tesi_di_laurea)
- Thesis
Licence: Creative Commons Attribution Non-commercial No Derivatives. Download (4MB) | Preview |
Abstract
The shift from Industry 4.0 to Industry 5.0 embraces human-centricity, prioritizing technology that enhances rather than replaces human capabilities. This approach improves collaboration between humans and machines, exploiting their complementary skills to achieve a common goal. While a 6-Degrees of Freedom (DoF) robot arm already resembles the human arm, a 7-DoF design more closely mimics its dexterity, providing greater control and optimizing robot motion in terms of joint limits, obstacle avoidance, and energy efficiency. The integration of a linear guide is a practical solution for implementing a seventh DoF, enabling translational movement of the robot base. Research has already explored its benefits in various applications such as humanoid manipulators, industrial robots, and robots for agriculture.
However, the redundancy introduced by a linear guide remains unexplored in collaborative robotics, where it could significantly enhance safety and efficiency
Relators
Academic year
Publication type
Number of Pages
Course of studies
Classe di laurea
URI
![]() |
Modify record (reserved for operators) |
