The NeuroHaptic™ System
To watch this video you need to upgrade your Flash Player
Get Flash Now
Download Leaflet
Academic discounted Kit Price: £2,295
Academic discounted Assembled Price: £3,060
All prices exclude VAT tax & delivery
ORDER
Haptic Joystick Features
- Rate or Position control modes
- Kinematically mapped to NeuroArm 7DOF Robot Arm
- Force Reflection Toggle
- Individual Joint Lock / Unlock
- Single Button Knot point - Record and Playback
- Active Compliance Tuning
- Dead Man's Safety Sensor
A 7 DOF spring balanced Haptic based joystick - enabling kinemtically mapped natural control of manipulator for telerobotics applications, versatile teach modes, combination of rate and position control for accuracy + 6 axis force reflection, so the user can feel what the robot ´feels´
The haptic interface is effectively a mechanism designed to kinematically map on a 1:1 basis with the NeuroArm 3.0 - thus providing the most intuitive level of control. It effectively is a ‘floating’ ( via a spring balanced mechanism ) 3 dimensional joystick that minimises the user becoming tired - and enables the robot to exactly copy the motion of the person operating it. It is not a ‘wearable device or exoskeleton’ - but rather an intuitive joystick. The joystick maps the X, Y & Z postion, speeds, accelerations of the users hand motion exactly - as well as the orientaion of the users hand in terms of rotation about X, Y & Z - also in terms of angle , angular velocity & angular acceleration.
The NeuroHaptic has a gripper lever to control the position, speed & acceleration of the robot gripper. This can be used with the haptics (force reflection) turned off and forms part of an SDK sold within the NeuroManipulator System - whereby teaching, recording & playing back complex robot moves with all the relative joint positions , velocities , accelerations and gripper orientation angular positions , velocities & accelerations - to enable true recording and later playback of the trajectory faithfully.
Inverse kinematic computations are elminated - thus avoiding singluarities causing unwanted rapid joint motions at certain points. The user can use this system to record complex trajectory macros that can be software controlled under various conditions - without needing to explicitly drive there via an X, Y , Z cartesian frame control. The NeuroHaptic will later have options used to train a Neural Network and build up a ‘mathematical model’ without the user needing to explicitly derive the model. In addition, the NeuroHaptic can be plugged into the PC as well as the robot; enabling the protocol bytes to be analysed, stored and later embedded within a host application . This latter feature is extremley powerful for users to develop their applications.
In haptic mode with force reflection turned on - the user can now ‘feel’ if the gripper of the robot is actually holding something by driving minature motors on the haptic via a control loop that measures the pressure on the robot fingers. In addition to this all the joints of the robot and all the deflection sensors feedback signals to minature motors mounted throughout the NeuroHaptic - and if the robot picks up an object like a book - the robot will sense this and feeback to the haptic all the appropriate positions, forces , speeds trasnmiitted to each joint. This provides the sensation of ‘weight’ .If the user moves the robot around - a combination of NeuroBackdrive & active compliance kicks in and will move the NeuroHaptic around. A Further advanced option provides a haptic type data glove that connects to the end of the NeuroHaptic - coupled with the additional palm mechanism and integrated sensors - the user can feel what the robot is grasping at higher resolutions