Leveraging Touch Sensors to Improve Mobile Manipulation

Autor: Lach, Luca, Haschke, Robert, Ferro, Francesco, Pagès, Jordi
Rok vydání: 2020
Předmět:
Druh dokumentu: Working Paper
Popis: Despite many advances in service robotics, successful and secure object manipulation on mobile platforms is still a challenge. In order to come closer to human grasping performance, it is natural to provide robots with the same capability that humans have: the sense of touch. This abstract presents novel, tactile-equipped end-effectors for the service robot TIAGo that are currently being developed. Their primary goal is to improve reliability and success of mobile manipulation, but they also enable further research in related fields such as learning by human demonstration, object exploration and force control algorithms.
Databáze: arXiv