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Cog on display at the MIT Museum. Cog was a project at the Humanoid Robotics Group of the Massachusetts Institute of Technology. It was based on the hypothesis that human-level intelligence requires gaining experience from interacting with humans, like human infants do. This in turn required many interactions with humans over a long period.
In the 1990s, Brooks decided to pursue the goal of human-level intelligence and, with Lynn Andrea Stein, built a humanoid robot called Cog. Cog is a robot with an extensive collection of sensors, a face, and arms (among other features) that allow it to interact with the world and gather information and experience so as to assemble intelligence ...
OpenCog is a project that aims to build an open source artificial intelligence framework. OpenCog Prime is an architecture for robot and virtual embodied cognition that defines a set of interacting components designed to give rise to human-equivalent artificial general intelligence (AGI) as an emergent phenomenon of the whole system. [2]
The links below are websites to robots that the Humanoid Robotics Group has been involved with. These projects are similar to Coco but have different body structures and postures. Cog -motor dynamics that are similar to humans; Kismet -human communication skills; Macaco -reacts to its surrounding; Retired Robots include: Wheelesley; Pebbles
Microsoft Robotics Developer Studio (Microsoft RDS, MRDS) is a discontinued Windows-based environment for robot control and simulation that was aimed at academic, hobbyist, and commercial developers and handled a wide variety of robot hardware. It requires a Microsoft Windows 7 operating system or later.
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The first Verilog simulator available on the Windows OS. The simulator had a cycle-based counterpart called 'CycleDrive'. FrontLine was sold to Avant! in 1998, which was later acquired by Synopsys in 2002. Synopsys discontinued Purespeed in favor of its well-established VCS simulator. Quartus II Simulator (Qsim) Altera: VHDL-1993, V2001, SV2005
The simulator allows for robotics programs to be conveniently written and debugged off-line with the final version of the program tested on a physical robot. This applies mainly to industrial robotic applications, since the success of off-line programming depends on how similar the physical environment of a robot is to a simulated environment.