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Robots with a Vision

By Bill Bailey, Jon Reese, Randy Sargent, Carl Witty, and Anne Wright


Machine chine vision is a field of electrical engineering that's changing how we interact with our environment, as well as the ways by which machines communicate with each other. Circuit Cellar has been publishing articles on the subject since the mid-1990s. The technology has come a long way since then. But it's important (and exciting) to regularly review past projects to learn from the engineers who paved the way for today's ground-breaking innovations.

In M1's IR sensor array, each LED is fired in turn and detected reflections are latched by the 74HC259 into an eight-bit byte. Click to read the entire article and study the schematic.

In Circuit Cellar 92, a team of engineers (Bill Bailey, Jon Reese, Randy Sargent, Carl Witty, and Anne Wright) from Newton Labs, a pioneer in robot engineering, introduced readers to the M1 color-sensitive robot. The robot's main functions were to locate and carry tennis balls. But as you can imagine, the underlying technology was also used to do much more.

The engineering team writes:

Machine vision has been a challenge for AI researchers for decades. Many tasks that are simple for humans can only be accomplished by computers in carefully controlled laboratory environments, if at all. Still, robotics is benefiting today from some simple vision strategies that are achievable with commercially available systems.

In this article, we fill you in on some of the technical details of the Cognachrome vision system and show its application to a challenging and exciting task-the 1996 International AAAI Mobile Robot Competition in Portland, Oregon... In 1996, the contest was for an autonomous robot to collect 10 tennis balls and 2 quickly and randomly moving, self-powered squiggle balls and deliver them to a holding pen within 15 min.

INDUSTRY NEWS
Looking for an 8-bit microcontroller for an IoT application? Microchip Technology announced from ESC 2015 Silicon Valley two new 8-bit families that expand its growing portfolio of PIC microcontrollers with Core-Independent Peripherals (CIPs). The PIC16F1579 and PIC16F18877 8-bit MCU families ... Continue reading...»

Silicon Labs recently announced a new release of the Simplicity Studio development platform designed to make IoT system design easier and faster. Simplicity Studio-which enables concurrent microcontroller and wireless design-features an enhanced real-time Energy Profiler tool, faster execution speed, and ... Continue reading...»

 

Exar Corp. has announced the XR10910, a new sensor interface analog front end (AFE) for the calibration of sensor outputs. The XR10910 features an onboard 16:1 differential multiplexer, offset correction DAC, programmable gain instrumentation amplifier, and voltage reference. In addition, ... Continue reading...»
CURRENT ISSUE

Circuit Cellar #300
July 2015

Innovative Net & Connectivity Projects | DIY Acoustic Android App | MCU-Based WAVE Player | Build a Multi-Node Security System | Sustain Mobile System Performance | Magnetic Shielding Explained | Touch Screen Control Panel Project | LIDAR 101 | What Are Interconnect Defects? | And More