beware of the robot v. matsas ieee.pdfآ  consider safety-based robot motion programming ... beware...

Download beWare of the Robot v. MATSAS IEEE.pdfآ  Consider safety-based robot motion programming ... beWare of

If you can't read please download the document

Post on 18-Jul-2020

0 views

Category:

Documents

0 download

Embed Size (px)

TRANSCRIPT

  • MAYAM

    xxxxxxxxxxxxxxxxxxxxxxxxxxx

    Use case:

     Direct hand-to-hand Human-Robot Collaboration (HRC) during hand lay-up of composites

     The VE comprises a shop-floor environment, an industrial robot, a tracking-driven avatar, carbon

    patches and a metallic die.

     The user performs tasks in close proximity with the moving robot, while the robot handles the

    carbon patches.

     Safety issues arise and have to be tackled with a modern, beyond stop-and-go approach.

     Emergencies (i.e. warning audiovisual stimuli and dynamic triggering events) are employed to

    enhance situation awareness and anticipation of the robot motion.

    Project Goals:

     Platform for experimentation (HRI techniques / HRC fluency) - Investigate users’ experience and

    behavior inside the collaborative VE

     Investigate HRC acceptability in regard to safety issues (physical and mental safety)

     Consider safety-based robot motion programming

    H-R Collaboration scenario:

     The robotic manipulator picks and transfers carbon patches towards the user

    E. Matsas, G.-C. Vosniakos, D. Batras {imatsas, vosniak} @central.ntua.gr

    School of Mechanical Engineering

    National Technical University Of Athens

    Designing an Interactive Serious Game to Investigate Acceptability of

    Human-Robot Collaboration in Manufacturing

    beWare of the Robot v. 2.0

    A novel 3D interactive and immersive serious game that simulates in real-time

    collaborative manufacturing tasks between industrial robotic manipulators and humans

    in shared workspace.

    IEEE Virtual Reality 2015, IEEE 3DUI 2015 Doctoral Consortium

    23-27 March 2015

    Arles, Camargue, Provence, France

    This research has been co-financed by the European Union

    (European Social Fund – ESF) and Greek national funds through the

    Operational Program "Education and Lifelong Learning" of the

    National Strategic Reference Framework (NSRF) - Research Funding

    Program: Heracleitus II. Investing in knowledge society through the

    European Social Fund.

     The user has to take the patch from the robot and to properly lay it in the

    appropriate position inside the metallic die located in front of him. Afterwards,

    the robot proceeds to feed the next patch, and the process is repeated until all

    different patches are correctly placed.

     When the user’s body is in very close proximity with the robot’s forearm, a sound

    alarm is turned on, to warn the user of the robot’s proximity and a possible

    collision. The robot speed is reduced accordingly.

    Research hypothesis:

     Warning stimuli inside a VE that offers immersion and real-time interaction can

    provide to the user augmented situational awareness and enhanced perception

    of the robot’s motion.

    Wide blending of Interaction Techniques:

     Collision detection, Ray-casting, Child/parenting functions,

    head and skeletal tracking, real walking, tracking-driven virtual hand

    Implementation:

    Software: Unity 3d™, Rhinoceros™, 3dsMax™, C#, Kinect SDK - 3D UIs: Oculus Rift

    DK2 HMD (immersion, stereoscopic vision and head tracking of yaw and pitch angles), and Kinect sensor (11 body joints skeletal tracking navigation, avatar control)

    mailto:vosniak}@central.ntua.gr mailto:vosniak}@central.ntua.gr mailto:vosniak}@central.ntua.gr