| Guest poster Norris Lemuel Lasay explores the divergence between popular media and the present level of advancement in robotics and artificial intelligence. We don't have C3P0 or HAL today, however continued research and development of these exponential technologies are definitely projecting along the path where fiction and reality will be almost indistinguishable. |
Robotics and the Media
The media represents robotics as the “future” of technology and of the world itself. In fact, in various works of fiction, the future is often shown with people having robotic companions. Self reliant machines for their automobiles and living quarters are common. In most cases, these become the very bane of the human characters' existence as well – producing mechanisms of destruction and often times becoming a little too intelligent and self reliant for anybody’s comfort that they tend to dominate the world of the living.The Misconceptions and the Truth Behind Robotics and Learning
A lot of these ideas contributed to the fallacies about robotics, artificial intelligence and learning. Due to such fiction, it has become quite important for people to create an understanding of the capabilities of robotics and machine learning and how wrong most of these prominent ideas about them are.Robotic Learning and the Need for Rules
One of the major misconceptions is that robotics’ main aim is to create a life-like human android with technology. The reality is that the idea behind robotic learning is to generate rules the robotic body can follow. A set of rules is programmed into the robotic body that it can follow as it goes through its tasks. These tasks are specific and are little by little programmed into the robotic body. It also requires that several images and models of the world to be programmed into the robotic brain or memory in order for it to be as “intelligent” as it needs.Robotic Learning and Its Needs for Patterns
Robotic learning does not work like magic. It is achieved after programming, kinetic learning and hundreds of trials. For a simple job that requires a simple pattern of movement, the requirement for training is heavy. It requires for a program, a set of rules, scoring system and kinetic learning for the robot. The robotic body needs to record a simple set of rules it can abide by and a movement pattern it can mimic and repeat regularly. Consider the training the instructors of the iCub robotic system are now employing with their android toddlers.Artificial Intelligence requires that the rules be programmed into it and it does not learn in such a speedy and intelligent manner as the movies and media often portray. In fact, it is a long and tedious process that requires human prowess and skill in order to succeed. It is a slow but rewarding process which main aim is to produce reliable robotic technology which will aid human life in the future. Furthermore, as part of an exponentially expanding information technology, the real advancements and impacts of AI are only beginning to be realized.
At present, efforts today by various development companies and research bodies show have shown progress in AI in incremental ways. With the race to create the most reliant and amazing robotic systems now underway, such as the DARPA Grand Robotics Challenge, it is only a matter of time before a useful body for specific tasks is made available for the modern world.
| By Norris Lemuel Lasay | Norris Lemuel Lasay has been working as an online article writer for quite some time, covering different topics such as gadget reviews, social media marketing, wireless internet and other technology related topics. |
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