Complex Problem - Conceptualization, UFO..No?

Researchers at Georgia Tech are creating a next-generation humanoid robot--a self-described “robot that behaves like MacGyver”--for the military that can create simple tools out of any nearby objects. The robot acts autonomously and can rescue troops with impromptu tools, as well as block suspects' range of motion by jamming doors and windows shutThe Office of Naval Research (ONR) recently gave Georgia Tech $900,000 for the project. A team led by Mike Stilman, a scientist who specializes in humanoid robots designed to interact with humans and autonomously move objects, is in the process of developing a robot the size of an adult human which can perform high-level tasks. The development of algorithms that allow robots to identify random physical objects, determine their potential functions, and turn them into simple machines for performing actions is at the core of Stilman's project.
www.fastcompany.com/3002092/meet-navys-new-macgyverbot

Okay on the AI, but I posted it because I find it interesting, and I'm nobody, so I figured it would be interesting to others here. Thanks for clarifying. The pages were empty, no one was posting.

There are significant differences between solving problems through use of experimentation without reference or using some method of association, and one difference is time. Problem solving through use of experimentation may require more time to discover some process for achieving the objective or task, whereas associative thinking provides some prior knowledge or reference obtained through training exercises and observation (and stored in residual memory for recall) and this used as some baseline to mimic something already known that can be readily recalled and processed, thus reducing time for discovering the solution to some present objective or task. Such (knowledge in residual memory) can be extracted through use of key words as related to this objective and others, so as the more words used in association, the more references to previously stored knowledge and training (sound and visual 3-D references). This will provide some basic approach (reference) for analyzing and comparing simple problems with references to possible solutions, therefore robots’ must have the ability to learn and use (associative thinking) as the baseline for resolving problems, and thereafter processing (have an ability to recall) and mimic past solutions as to achieve faster understanding as to resolve the present problem. And modify their objective based on their perception of the environment and tools available (extension to their capability). Environments have specifications as do tools, so the robot must have some clear understanding of these specifications and the ability to process information in 3-D environment.

A robot is a tool,
Therefore the robot must firstly and fully understand its capabilities to secondly understand how these capabilities can be improved with the use of tools. Tools are an extension to the robots capability, therefore something that does not extend these capabilities is not a tool.

Completely different, robots can be critical in rescue operations.

This can be accomplished by developing algorithms associated with identifying and understanding shapes as associated with geometry and mechanical geometrical interfaces, and the mathematics or basic physics associated with force and motion, among other. Humans recall residual memory and process this information so quickly they often do not realize such instances occur, however they likely do.

The robot must be able to process images and convert 'specific shapes into three dimensional objects, then associate these objects to mechanical interfaces within the environment, and thereafter identify the physics associated with these objects and the environment. Specific objects, and then basic physics associated (residual memory) with these objects with respect to the environment. The environment is a 'space, the objects are located within this space, and physics associated with the objects within the space.

So each object based on its shape, geometry, and other has some stored physical properties (firstly), then secondly some association (residual memory, training) to basic mathematical models for achieving some objectivity with these objects.

The objective and associated objects are defined through communication or key words, and relate to the physics of the given task. The robot must be trained through time, which simply means the robot must learn (and store models) to increase its ability to identify objects and geometry, and the physical properties associated with accomplishing some task.

A 'task or objective is often a simple physics problem.

Programs like the above can be developed prior to mechanical interface for accomplishing task and having the ability to identify the objects associated. Think key words.

I wonder why people fear traveling through the singularity, its likely if you enter no more then two meters through this gateway you can return. Maybe it requires some preconditioning to accomplish this task.

Now to make the above AI work, you must define the two 'states of mind, one resides and functions as to reference information stored in residual memory, while the other functions to process these references using active or real time memory. Thinking occurs using references provided to 'active memory ( to simplify processing), so as the subconscious mind functions to reference residual memory (obtaining references) and the conscious mind to process this information in real time. These are two completely different functions, as both states of mind operate at the same time.

I can finish the AI Model, but this will likely disturb some people. So will not...