Training toddlers seated on mobile robots to drive indoors amidst obstacles

The goal of this research is to train children seated on mobile robots to purposefully and safely drive indoors. Our previous studies show that in about six weeks of training, infants can learn to drive directly to a goal using conventional joysticks. However, they are unable to acquire the advanced skill to avoid obstacles while driving. This limits mobility impaired children from exploring their home environment safely, which in turn impacts their cognitive and social developments in the important early years. In this paper, we describe results where toddlers are trained to drive a robot within an obstacle course. Using algorithms based on artificial potential fields to avoid obstacles, we create force field on the joystick that trains them to navigate while avoiding obstacles. In this ‘assist-as-needed’ approach, if the child steers the mobile robot outside a force tunnel centered around the desired direction, the driver experiences a bias force on the hand. The results suggest that force-feedback joystick results in faster learning than with a conventional joystick.

[1]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[2]  S. Coquillart,et al.  Haptic Guidance Improves the Visuo-Manual Tracking of Trajectories , 2008, PloS one.

[3]  Soonshin Han,et al.  Tele-operation of a Mobile Robot Using a Force Reflection Joystick with a Single Hall Sensor , 2007, RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication.

[4]  Anas Fattouh,et al.  Force feedback joystick control of a powered wheelchair: preliminary study , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[5]  Gaurav S. Sukhatme,et al.  A haptic-rendering technique based on hybrid surface representation , 2004, IEEE Computer Graphics and Applications.

[6]  S. Agrawal,et al.  Power Mobility Training for a 7-Month-Old Infant with Spina Bifida , 2009, Pediatric physical therapy : the official publication of the Section on Pediatrics of the American Physical Therapy Association.

[7]  Xi Chen,et al.  Training special needs infants to drive mobile robots using force-feedback joystick , 2010, 2010 IEEE International Conference on Robotics and Automation.

[8]  Yukio Tada,et al.  Feedback control of a two wheeled mobile robot with obstacle avoidance using potential functions , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[9]  Ren C. Luo,et al.  Force reflective feedback control for intelligent wheelchairs , 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).

[10]  John Kenneth Salisbury,et al.  Haptic Rendering - Beyond Visual Computing , 2004, IEEE Computer Graphics and Applications.

[11]  H. Lilliefors.  On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown , 1967 .

[12]  Sunil Kumar Agrawal,et al.  Babies driving robots: self-generated mobility in very young infants , 2008, Intell. Serv. Robotics.

[13]  Kuu-Young Young,et al.  Force reflection and manipulation for a VR-based telerobotic system , 2000 .

[14]  R. W. Stark,et al.  Force-feedback joystick as a low-cost haptic interface for an atomic-force-microscopy nanomanipulator , 2003 .

[15]  David J. Reinkensmeyer,et al.  Haptic Guidance Can Enhance Motor Learning of a Steering Task , 2008, Journal of motor behavior.

[16]  D. Witherington,et al.  The flip side of perception-action coupling: locomotor experience and the ontogeny of visual-postural coupling. , 2001, Human movement science.

[17]  David I. Anderson,et al.  Travel Broadens the Mind. , 2000, Infancy : the official journal of the International Society on Infant Studies.

[18]  Yoram Koren,et al.  Real-time obstacle avoidance for fact mobile robots , 1989, IEEE Trans. Syst. Man Cybern..

[19]  M. Sahnoun,et al.  Assisted Control Mode for a Smart Wheelchair , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.

[20]  Jan Furumasu,et al.  Cognitive predictors of young children's readiness for powered mobility , 1999 .

[21]  Xunzhang Wang,et al.  Exploiting force feedback in pilot training and control of an underwater robotics vehicle: an implementation in LabVIEW , 2000, OCEANS 2000 MTS/IEEE Conference and Exhibition. Conference Proceedings (Cat. No.00CH37158).

[22]  Jean-Claude Latombe,et al.  Robot motion planning , 1970, The Kluwer international series in engineering and computer science.

[23]  R. Schmidt,et al.  Motor control and learning: A behavioral emphasis, 4th ed. , 2005 .

[24]  Laura Marchal-Crespo,et al.  A robotic wheelchair trainer: design overview and a feasibility study , 2010, Journal of NeuroEngineering and Rehabilitation.

[25]  Gaurav S. Sukhatme,et al.  Haptic control of a mobile robot: a user study , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.