  Cables are complex, high dimensional, and dynamic objects. Standard
approaches to manipulate them often rely on conservative strategies that
involve long series of very slow and incremental deformations, or various
mechanical fixtures such as clamps, pins or rings. We are interested in
manipulating freely moving cables, in real time, with a pair of robotic
grippers, and with no added mechanical constraints. The main contribution of
this paper is a perception and control framework that moves in that direction,
and uses real-time tactile feedback to accomplish the task of following a
dangling cable. The approach relies on a vision-based tactile sensor, GelSight,
that estimates the pose of the cable in the grip, and the friction forces
during cable sliding. We achieve the behavior by combining two tactile-based
controllers: 1) Cable grip controller, where a PD controller combined with a
leaky integrator regulates the gripping force to maintain the frictional
sliding forces close to a suitable value; and 2) Cable pose controller, where
an LQR controller based on a learned linear model of the cable sliding dynamics
keeps the cable centered and aligned on the fingertips to prevent the cable
from falling from the grip. This behavior is possible by a reactive gripper
fitted with GelSight-based high-resolution tactile sensors. The robot can
follow one meter of cable in random configurations within 2-3 hand regrasps,
adapting to cables of different materials and thicknesses. We demonstrate a
robot grasping a headphone cable, sliding the fingers to the jack connector,
and inserting it. To the best of our knowledge, this is the first
implementation of real-time cable following without the aid of mechanical
fixtures.

Robotics;Systems and Control;Image and Video Processing;Systems and Control