verbal teaching

Robot XCR-1 recognizes the spoken names of some objects; a spoken name evokes the mental "image" of the object and this may be associated with corporal reward or punishment. Later on the robot recognizes the seen objects as good or bad and will change its behavior accordingly as shown in an earlier demo. This video demonstrates also the cross-module broadcasting and association in the Haikonen Architecture.

Video by Pete Haikonen

Category:

Science & Technology

Tags:

• artificial intelligence
• robots
• cognition
• machine consciousness

[PenHaiko]

XCR-1 uses two photodiodes for visual detection. Active targets are detected, they transmit modulated infrared and are identified by the modulation frequency. The visual system is able to detect the direction of these targets and focus attention separately on each of these. The neurally inspired circuitry is extremely simple, no microprocessors or programs. Detailed description can be found in my forthcoming book.

[srgrimm13156]

What is this machine using for vision input? I'm studying your papers now and you don't mention what you use as the vision hardware. I'm most fascinated by your theories,,,,they seem to reflect a lot of the same methods I've used in my machines.

[srgrimm13156]

Why don't people pay more attention to this....It needs more hits :))