Abstract: A device comprising an illumination means and a light sensing means, that can examine and memorize a discrete color of an object based on the magnitude of the reflected light bouncing off of the colored surface in at least three areas of the electromagnetic spectrum. The device also provides output as a visually and/or audibly perceptible signal for deciphering the color. The color range identified by the device is not limited to the visible spectrum and may include infra-red and ultra-violet light. A storage means for memorizing colors may also be included in the device. Applications of ColorStick technology may include children's toys, aids for the visually handicapped (e.g. blind or color blind individuals), designers, internet shoppers, gardeners, etc.
Type:
Grant
Filed:
January 24, 2005
Date of Patent:
July 31, 2007
Assignee:
Iguana Robotics, Inc.
Inventors:
M. Anthony Lewis, Ralph Etienne-Cummings, Kaijen Hsiao, Ilyas M. Ayub, Viktor Gruev, Chris F. Milne
Abstract: An artificial Central Pattern Generator (CPG) based on the naturally-occuring central pattern generator locomotor controller for walking, running, swimming, and flying animals may be constructed to be self-adaptive, by providing for the artificial CPG, which may be a chip, to tune its behavior based on sensory feedback. It is believed that this is the first instance of an adaptive CPG chip. Such a sensory feedback-using system with an artificial CPG may be used in mechanical applications such as a running robotic leg, in walking, flying and swimming machines, and in miniature and larger robots, and also in biological systems, such as a surrogate neural system for patients with spinal damage.
Type:
Grant
Filed:
May 2, 2001
Date of Patent:
January 16, 2007
Assignee:
Iguana Robotics, Inc.
Inventors:
Ralph Etienne-Cummings, M. Anthony Lewis
Abstract: Robots and other mobile apparatus, especially robotic bipeds, that exhibit agile capabilities can become easily destabilized by obstacles or particular surfaces. An algorithm for controlling the movement of a robot based on visual cues and learning processes will help to avoid destabilization and movement interruption by altering the gait measurement. As such, when the robot predicts that an obstacle is upcoming, it can make adjustments by either increasing or decreasing stride so that a smooth transition can be made in bypassing the obstacle.