Robot Path Planning

Because of the increasing number of machines with smarts, we are facing “the inflection point” (301). However, our fixed views on intelligent robots such as demands that artificial intelligence should look like human, prevent us from realizing what is already happening around us. He states that to see how far artificial intelligence has changed our lives, we need to get rid of the fixed views. For example, an industrial robot named Baxter is designed for people to easily work right next to it and easily train it, which is the noteworthy feature that other robots fail to implement. Baxter is also cheaper than other robots, which means it is easy to install it. Although Baxter is not humanlike, it represents how robots are becoming advanced as stated

This investigative lab studies the development and movement of robotic devices. The objective of this lab experiment in particular was to create a simplistic version robotic beetle that can move and react in the same manner as the household autonomous robotic vacuum device; the Roomba. Using items one could find within one’s home, the investigator utilized simple materials to create a simplistic autonomous robotic device that would contain the basic features of a Roomba, primarily the feature that implements the ability to essentially avoid objects rather than run straight into them, allowing the robotic device to move about a room with little to no outside

Allen, Paul G., and Mark Greaves. "The Singularity Isn't Near." MIT Technology Review 12 Oct. 2011: n. pag. Rpt. in Robotic Technology. Ed. Louise Gerdes. Farmington Hills, MI: Greenhaven, 2014. Opposing Viewpoints. Opposing Viewpoints in Context. Web. 7 Oct. 2015. .

Albert Einstein declared “It has become appallingly obvious that our technology has exceeded our humanity.” It is important to remember that Einstein said this long before all of the technological developments we know today. If he could see how far we have progressed, his proclamation would most likely be even more urgent. Many people share the fear of technology overtaking humans. Two authors, Clive Thompson, who wrote “Smarter than You Think” and Kevin Kelly, who wrote “Better than Human: Why Robots Will- and Must-Take Our Jobs,” have an optimistic view regarding the role of technology in the future. Although they use different reasoning, both Thompson and Kelly assert collaboration between humans and technology is necessary to maximize

The history of military robotics dates back to World War II and the Cold War. During those times of spying, weaponry and strategic attacks, these robots were in the form of Germany’s type of robotics and Russian weaponry called “teletanks”.

Humans and machines are two out of many things that think and visualize things. A human can do most things that a machine can do , except machines are consistent or they can keep there pace while doing things. In the story , " John Henry " he won a contest against the machine but later on dies. Humans and machines are different because humans have a limited amount of time to live , while machines have endless life , unless broken. In the past , cars are not well-manufactured so they tend to swerve while driving and crash , leaving people injured or killed. Also , people lose their jobs because machines can do their jobs quicker and with better quality. In the future , I believe humans will build machines that will be able to process by itself

In fact, the machines will be better in sales than humans, so that would be a positive aspect for the brand. However, people would have a harder time looking for jobs because they would have to study a lot in order to find jobs. The jobs on the future will not be selling, or any type of job like that, they would be to design and construct a new machine; knowledge and study are required for doing that type of task.

Robots are machines usually used to accomplish things too boring or dangerous for humans. Many robots are being made in the world today. The Valkyrie, Ian the Invincible, and the Alpha Dog are some examples. These are all very complex robots, but a Redbot is a robot that can be easily coded to do simple tasks. For the past two months, the Redbot Line Fisher was being created and adapted so that it will meet a service’s specific needs, improve life, and implicate social, economic, or political changes.

In order to avoid accidently meddling with the robot while retaining some semblance of usefulness, I created a technical journal, a written documentation of the team’s thought process to be judged in competition. I detailed revisions, prototypes, and organized data. A heavy binder of sketches emerged, full of research, thoroughly-explained trail-and-error, and reasoning .

Nearly all jobs, blue and white collar alike, will eventually be automated by a worker who never makes mistakes, never needs to stop working, and can learn faster than any human alive. This is the future we face, according to Kevin Kelly, writer of “Better Than Human: Why Robots Will — And Must — Take Our Jobs.” Kelly discusses the future of machines doing our work for us. Kelly believes that all jobs currently occupied by humans will eventually be taken over by machines, and humans will benefit from the results. While Kelly presents engaging arguments, his examples and writing style are ineffective in fully demonstrating his view of automation in the workplace.

In her article, Kathryn Thornton, looks at the future of robotics, as of now robots depend too much on people for commands and repairs, but in the near future that can certainly change, she mainly focuses on explaining the potential that robotic science has and even explain what defines a robot. This article was published by national geographic and has been well researched by the author. This article contains pertinent information on the fairly new field of robotic engineering and what the future may hold for this science. This source shows both the positive and negative effects that robotics could potentially have on our society, the article reinforces the idea of robots being a major future innovation which could potentially save countless

In this paper, a probabilistic roadmap method of path planning for mobile robot is proposed to use it in Known environment.

Robot path-planning is a piece of an expansive class of issues relating to scheduling and routing. Few techniques have been connected to the robot navigation problem. The previous techniques used showed that when a robot meets an obstacle, it was not able to avoid it and would follow the straight path as it could only move vertical and horizontal directions. With further progress in algorithms, the robot could in diagonal direction along with it horizontal and vertical movement property but there remained one major drawback. The robot did not have the capability to backtrack and avoid obstacles. An algorithm which would help the robot move back and avoid obstacles was needed. This paper used a phenomenon name “Parallel-Chromosome” which helped to improve the efficiency of finding an optimal path and it improved the search space and the robot’s moving flexibility.

Computer vision however means that robots can be monitored from just a few inexpensive cameras and the recent availability of wireless network solutions (IEEE 802.11 and Bluetooth in particular) has decimated the infrastructure they demand. The final step to the package is how humans are to interact

Computers are becoming more and more human. In some areas they are superhuman. Computers can calculate complex math problems in less than one millisecond, beat us at games such as chess, memorize entire books and movies in a single glance, compose entire pieces of music, and they can give people information on virtually any subject. Yet, we still don't have a machine that can do the things that computers have done in science fiction movies, such as translate everyday English into Italian, summarize texts, or make us breakfast without burning down the house. But will computers ever become as intelligent as human beings?