Abstract- This paper proposed another robot navigation algorithm in light of gene expression programming, and introduced another idea named "parallel-chromosome" to mitigate the downside that the robot can't move back when meeting obstacles and proposed an extraordinary encoding technique to lessen the space cost. A "fitness function penalty" was advanced to choose the fitness values. Trials demonstrate that BPGEP beats conventional GA-based algorithms by altogether enhancing the success rate of finding an optimal path.
Keywords- Gene Expression Programming, Path Planning, Parallel-Chromosome, Fitness Function Penalty, Mutation
I. INTRODUCTION
Automation has turned into an amazingly quickly developing marvel affecting all features of
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Also a new population encoding method was developed to reduce the storage space. This paper displays the research and simulations investigations of another quality gene expression programming (GEP) based path-planning model which has been connected in the real time environment.
A. Importance and Significance of the Topic
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.
II. GEP-BASED ROBOT PATH PLANNING ALGORITHM
A 2D path planner is used for the path planning and it determines the length and width of the search space. The path planner also shows the location of the known obstacles with some marking. Start and end point are also
Continuing with the development and improvement of the assembly line, in the 1960s, new machines were invented that allowed for five axes of motion. These devices were called the “Versatran”, and were installed a Ford factory in Ohio. But later in the decade, robots became even more complex adding another axis it can work
Genetic Engineering is a fairly simple process that revolves around DNA. DNA, or deoxyribonucleic acid, is a molecule located in the nucleus
Creating an efficient team is not just having a group of people. It is what the person contributes creates an efficient team.When creating a team it requires a diversified set of skills and collaboration. In the article “La Vida Robot” by Joshua Davis and the excerpt Steve Jobs by Walter Isaacson both authors believe that an efficient team needs knowledge about business, previous experience in their subject.
Searle presents an incredible argument to be sure, especially with the Chinese Room thought-experiment. In the end, I would have to concede to it, if I was trapped in a room with only the barrels of symbols and the rulebooks, I would not know the meaning of the Chinese symbols from simply arranging responses from these symbols. However; that does not mean that the argument is perfect. The premise that semantics cannot be derived from syntax alone can be challenged with an extension to the Chinese Room experiment. Let us assume that we put a digital computer into a robot, which has visual cameras, touch, taste, and smell sensors, and microphones to gain external data from the outside world, which would go into the computer as additional syntactical data. Let us also assume that the robot looks and acts like the average human, and also that each and every action that the robot takes is taken in the same way as the Chinese Room experiment, as syntactical data turning into new syntactical data due to the implementation of programs. Therefore, in the same respect as the
Imagine how much better life could be with robotics helping us out with things such as disabilities. The main issue is that robots are getting a bad rep. People don’t realize that our future has a really bright side with robots. Especially robots helping us with with medical issues, but people just focus on the bad side. Our future with robots will not be as bad as you think it will.
The heuristics that can be using in this project it's the cells between the robot (RX | RY) and the Goal (GX | GY) Can be counted as: H = (|RX-GX| +
For a team to become triumphant, they must have effective and diverse members to incorporate different ideas and skills. In the article, “La Vida Robot” by Joshua Davis and the biography Steve Jobs by Walter Isaacson, the two both communicate the diversity teamwork as an advantage. The two share similar views on what makes a powerful team and convey that through each group they communicate to the reader. Both authors Isaacson and Davis agree that differences in teammates make a successful team.
Teamwork is important because in “La Vida Robot” by Joshua Davis teamwork was required because in order to make the robot they were going to need some help. In the same way Isaacson showed teamwork Steve and Wozniak had each other help instead of having a team.Davis and Isaacson share the same perspective as both believe that people must work together in order to build a strong team.
nd the Robotic Knight. Ball bearings are still used today in most any factory or warehouse in some way. Leonardo Da Vinci’s parachute is much like todays, as its only purpose is to slow people when falling. The Ornithopter is a bird like thing that ideally would allow for human flight, in reality just glides. In the 1400’s muskets were incredibly slow, so Leonardo proposed to strap 11 muskets to each of 3 boards for a total of 33 muskets. Leonardo’s “33 barreled organ” would allow one board to fire, one too cool off, and one to reload. The diving suit would allow for troops to get under enemy ships and cut holes in the bottom thus sinking the ship. Even better than World War I and some World War II tanks Leonardo Da Vinci’s Armored Tank had
The 2015 Defense Advanced Research Projects Agency (DARPA) Robotics Challenge concluded in June, and Team KAIST from South Korea took the championship title with its robot DRC-HUBO. The winning team hails from the Korea Advanced Institute of Science and Technology (KAIST) and managed to defeat 22 other teams from around the world to bring home the top prize of US$2 million. The DARPA Robotics Challenge was launched in response to a humanitarian need that became glaringly clear during the Fukushima nuclear disaster in 2011. South Korea has just made headlines for its superiority in robotics technology, but other countries in Asia have also started turning to robotics to boost productivity and wow the public with some head-turning inventions.
The robot had been out for 24 hours now and already Jasper has lost his family from the explosions. All 4 of them were dead except for him. He was alone and the frigid night air had engulfed him in chills as he lay on the hard, burned ground.The robot….the robot was originally a government project. Then the AI nuclear robot went rogue, escaping the facility where the tests were being run and started blowing everything up across Dead Creek, Farem, the capital of the Government.
Planning is not only about knowing what to do, when to do and who will do it, but it is also about defining the path towards attaining the
A hydraulic robotic arm, operating using water must be designed, built, and be tested in approximately two and a half weeks. The entire project consists of detailed design sketches with project notes, numbered parts made on a CAD program, bill of materials and a working prototype.
As indicated, algorithm tools are different and can be presented in different modes which are in this context referred to as anti-phishing tools. The common examples today are:
Abstract: A time-space graph is a simple method for converting a transportation network 's timetable into a valid form of network for processing network 's algorithms. Arranging network 's stations on the vertical axis of the time space graph can be modeled as a single row facility layout problem (SRFLP). The aim is to minimize the intersection of lines representing the traveling trips on the graph. This paper presents a comparative study between the performance of some heuristics and meta-heuristics techniques for solving this problem. The heuristic techniques are: greedy 2-OPT, 2-OPT and 3-OPT while the meta-heuristics techniques are five algorithms of simulated annealing extracted from the literature review. The techniques were applied to the data of the timetable for the Egyptian National Railways (ENR) network - Lower Egypt.