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For most people, weapons selection is a matter of personal preference This chapter has presented many of the different types of weapon systems that are currently being used in combat robot events, and lists their strengths and weaknesses There are many different types of weapon systems that have yet to be seen in the world of combat robots Use your creativity in coming up with a new weapons system! But remember, what ever weapon system you use, it must conform to the rules, regulations, and safety requirements of the event that your bot will enter The most-effective weapon that has not been discussed is driver control One of the most-effective weapons you ll ever have is learning how to control your robot A good driver can avoid the deadly blows of an opponent and then position himself or herself for the kill Remember: there are more points awarded for strategy and aggression than for damage points
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H E robots described in the book thus far are remote-controlled (R/C) robots, which are generally the easiest robot to build because all the traditional R/C equipment can be readily purchased at hobby stores and from the Internet The next level for the robotic evolution, however, is the semiautonomous robot Including some semiautonomous features along with traditional features in your robots can simplify some of the work in controlling the robot, because such features mean that the robot will have some behaviors that will function on their own Autonomous control can range from little control to almost 100-percent control within the robot Minor control could be in the form of a mixing circuit to help with tank driving, overload current sensors on the motors to reduce the power going into the motors automatically, or automatic weapon firing or driving mechanisms Generally, a semiautonomous robot will have a sensor that can monitor its environment and some electronics that process the sensor data to make a decision and execute some action The next level for the robotic evolution is the fully autonomous robot These robots act completely on their own in performing tasks, using microcontrollers or computers for brains and many different sensors that allow the robot to see its environment, hear its environment, and feel its environment The robot s brain will interpret the sensor data, compare it to internal programming, and execute a series of actions based on the data Various examples of autonomous robots are maze-solving robots, line-following robots, sumo robots, and soccer playing robots in the Robo Cup Even NASA s Mars Sojourner has some autonomous features, also, that allow it to send images back to the engineers at NASA, who study the images and tell the robot to check out a particular rock or other interesting feature The robot then determines how to get to its destination If it senses an obstacle in the way, the robot figures out a path around it to continue its mission to the place of interest Once the robot gets to its destination, it conducts a series of experiments and sends the data back to the engineers at NASA Most combat robots are either totally remote-controlled robots or semiautonomous robots It is very difficult to make a fully autonomous combat robot, which needs a way to see its opponent and be able to distinguish it from its environment Reliable robotic vision systems are difficult to develop Consider
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the human brain, of which more than half is devoted to processing just what the eyes see The rest of the brain does everything else The human eye-brain combination can easily spot a robot in a combat arena and know where it is, what direction it is going, how fast it is going, its motion relative to another robot s motion, where the hazards are, and where the perimeter of the arena is The human eye-brain can do human intuitive things, such as calculate how heavy an opponent is and how dangerous it might be, and determine the weak points to attack and when to retreat and regroup The human brain can do this all at once plus throw out any information that is not needed for the task at hand The eyes of a robot break the image it sees into picture elements, or pixels A robotic vision systems has to interpret everything it sees, pixel by pixel, on the vision camera and then make decisions on it Teaching a robot how to distinguish the difference between a steel box and an enemy robot is a challenging task Research scientists around the world are still getting PhD s trying to figure out how to implement a reliable vision system in robots Though vision systems are rather complex to implement, autonomous robots are still possible For example, longtime combat robot builder Bob Gross built a beacon system that can be placed on a robot allowing it to see where the opponent is in the arena (See the sidebar Bob Gross and Thumper, later in this chapter, for more information) Because every robot design and function is different, this chapter cannot provide the exact details on how to implement a sensor into your robot What this chapter will cover, however, is the basic functionality of how various sensors work Because a specific sensor may have performance characteristics based on how it is implemented and the environment in which it is being operated, the robot builder should build a prototype sensor system and fully test it before implementing it into the robot When using semiautonomous to full-autonomous components in your robot, testing is critical It is best to build small-scale prototype models to test the various components and all of the failsafe features before implementing them in the final robot All the bugs need to be worked out prior to a combat event When at an event, you will have to demonstrate these features and the corresponding safety features to the safety inspectors; and you ll need to convince them that these features are reliable, or you won t be allowed to compete Because of this, more time before the contest is required to test the robot and the advanced controls
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