2-DOF fMRI-Compatible Haptic Interface for Bimanual Motor Tasks with Grip/Load Force Measurement

Robotic systems are invaluable tools for the investigation of sensorimotor control of action, as they can influence motion in a controlled manner and precisely record timing, trajectory and interaction forces. In order to better understand the dynamics of human action, it is also necessary to examine the related brain function. Functional magnetic resonance imaging (fMRI) is a valuable tool to measure task related changes in brain activation and combine these two approaches, but poses severe constraints on the development of robotic devices. Here, we present a two- degrees-of-freedom haptic interface for bimanual motor tasks with grip and load force measurement, which adheres to the stringent compatibility and safety requirements of fMRI. The robotic technology is based on earlier developments, which evolved through material compatibility tests and developments made within Touch-HapSys. The highly flexible hydrostatic transmission allows placing the two linear actuators with a stroke of 30 cm in various manners for interaction with single-handed or bimanual movements. As an extension, they can be fixed to an adjustable table to actuate an XY-stage for interaction with planar movements over a workspace of 15×15 cm 2. This system opens up new ways of exploring the nature of amplitude (force and position) and timing constraints in the sensorimotor control of action in healthy subjects and neurological patients.

[1]  Frans C. T. van der Helm,et al.  A force-controlled planar haptic device for movement control analysis of the human arm , 2003, Journal of Neuroscience Methods.

[2]  Masakatsu G. Fujie,et al.  A prototype master-slave system consisting of two MR-compatible manipulators with interchangeable surgical tools: part of a unified support system for diagnosis and treatment , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[3]  M. Ernst,et al.  Humans integrate visual and haptic information in a statistically optimal fashion , 2002, Nature.

[4]  Akio Yamamoto,et al.  Actuation Methods for Applications in MR Environments , 2006 .

[5]  Nobuhiko Hata,et al.  Surgical assist robot for the active navigation in the intraoperative MRI: hardware design issues , 2000, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113).

[6]  Mitsuo Kawato,et al.  Human arm stiffness and equilibrium-point trajectory during multi-joint movement , 1997, Biological Cybernetics.

[7]  Rieko Osu,et al.  The central nervous system stabilizes unstable dynamics by learning optimal impedance , 2001, Nature.

[8]  Etienne Burdet,et al.  A 2-DOF fMRI Compatible Haptic Interface to Interact with Arm Movements , 2006 .

[9]  Etienne Burdet,et al.  fMRI Compatible Haptic Interfaces to Investigate Human Motor Control , 2006, ISER.

[10]  Antonio Bicchi,et al.  Active mechatronic interface for haptic perception studies with functional magnetic resonance imaging: compatibility and design criteria , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[11]  R. Gassert,et al.  MRI/fMRI-compatible robotic system with force feedback for interaction with human motion , 2006, IEEE/ASME Transactions on Mechatronics.

[12]  Roger Gassert MR-compatible robotics to investigate human motor control , 2006 .

[13]  Libor Preucil,et al.  European Robotics Symposium 2008 , 2008 .

[14]  J R Flanagan,et al.  The Role of Internal Models in Motion Planning and Control: Evidence from Grip Force Adjustments during Movements of Hand-Held Loads , 1997, The Journal of Neuroscience.

[15]  Simon Henein,et al.  Conception des structures articulées à guidages flexibles de haute précision , 2000 .

[16]  Essa Yacoub,et al.  Design of an MRI-compatible robotic stereotactic device for minimally invasive interventions in the breast. , 2004, Journal of biomechanical engineering.

[17]  H Iseki,et al.  Development of an MRI-compatible needle insertion manipulator for stereotactic neurosurgery. , 1995, Journal of image guided surgery.

[18]  Mitsunori Tada,et al.  Development of an optical 2-axis force sensor usable in MRI environments , 2002, Proceedings of IEEE Sensors.

[19]  Etienne Burdet,et al.  Design of a simple MRI/fMRI compatible force/torque sensor , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).