IROS 2018poster189 citations

Robot Programming Through Augmented Trajectories in Augmented Reality

Camilo Perez Quintero, Sarah Li, Matthew KXJ Pan, Wesley P. Chan, H.F. Machiel Van der Loos, Elizabeth Croft

Abstract

This paper presents a future-focused approach for robot programming based on augmented trajectories. Using a mixed reality head-mounted display (Microsoft Hololens) and a 7-DOF robot arm, we designed an augmented reality (AR) robotic interface with four interactive functions to ease the robot programming task: 1) Trajectory specification. 2) Virtual previews of robot motion. 3) Visualization of robot parameters. 4) Online reprogramming during simulation and execution. We validate our AR-robot teaching interface by comparing it with a kinesthetic teaching interface in two different scenarios as part of a pilot study: creation of contact surface path and free space path. Furthermore, we present an industrial case study that illustrates our AR manufacturing paradigm by interacting with a 7-DOF robot arm to reduce wrinkles during the pleating step of the carbon-fiber-reinforcement-polymer vacuum bagging process in a simulated scenario.

BibTeX
@inproceedings{iros2018_robotprogramming,
  title = {Robot Programming Through Augmented Trajectories in Augmented Reality},
  author = {Camilo Perez Quintero and Sarah Li and Matthew KXJ Pan and Wesley P. Chan and H.F. Machiel Van der Loos and Elizabeth Croft},
  booktitle = {IROS 2018},
  year = {2018}
}
Robot Programming Through Augmented Trajectories in Augmented Reality · IROS 2018