@inproceedings{c7909f1614674933ade5f66872eb8405,
title = "Softbot: Software-based lead-through for rigid servo robots",
abstract = "In this paper, we present an interactive control method for rigid robotics. The core of the method is a neural network classifier that maps position and torque readings to a force direction in 3D space. We show that running our method online allows a human to move the robot along a desired path by performing intuitive pushes and pulls on the robot's joints. The setup is sensorless: no additional sensors, other than those already integral to the rigid joint itself, are added to the manipulator or used in the process.",
author = "Yackov Lubarsky and Amit Wolf and Lior Wolf and Curime Batliner and Jake Newsum",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Robotics and Automation, ICRA 2016 ; Conference date: 16-05-2016 Through 21-05-2016",
year = "2016",
month = jun,
day = "8",
doi = "https://doi.org/10.1109/ICRA.2016.7487390",
language = "الإنجليزيّة",
series = "Proceedings - IEEE International Conference on Robotics and Automation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2401--2407",
booktitle = "2016 IEEE International Conference on Robotics and Automation, ICRA 2016",
address = "الولايات المتّحدة",
}