The visual simulation displays:
• A specific agents traversability or visibility map upon request • A background image unique to that scenario
• Agents moving around the workspace area
• Current agent’s actions
IV. METHODS
The simulation’s primary goal is to confirm the author’s claim that implementing the method outlined in Failure An- ticipation in Pursuit-Evasion will provide the ability to get assistance to the primary pursuer within the visibility criteria.
This claim is tested using all three scenarios mentioned above.
3
The secondary goal is to measure the amount of time it takes to discover potential failures as the time horizon increases. A regression analysis is performed on the data to determine the rate of change. The rate of chance is then compared to the author’s results. The goal is to have the rate of change less than the O(h3) limit cited by the authors.
Searching problems can be studied using many different constraints on the problem (Fig. 2). Failure Anticipation in
Pursuit-Evasion mentions about some the constraints the au- thors decided to use but not all of their decisions. The authors specified heterogeneous search group, use of a finite discrete graph and number of targets. This leaves a lot of implemen- tation details such as target’s motion, pursuer’s motion and pursuer’s sensory model that are not explicitly stated. The lack of details on those topics is expected because the algorithm discussed in the paper does not focus on these items. But, the lack of these details add uncertainty when attempting to replicate and evaluate their results.
There are also a few important difference between this paper’s implementation and the methods described in Failure
Anticipation in Pursuit-Evasion because of a lack o...
... middle of paper ...
...l exploration task. If the high value pursuer could take target location into account while still exploring the environment you could greatly reduce the cost of providing support while increasing the likelihood that the visibility criteria will always be met.
Sixth, apply D*-lite ideas to the failure prediction algorithm to get better performance. Between time steps the failure prediction graph nodes don’t change very much. You could leverage this by caching and reusing the nodes, similar to
D*-lite, between failure checks to greatly reduce the cost of predicting potential visibility failure.
Works Cited
[1] C. Robin and S. Lacroix, Failure anticipation in pursuit-evasion. Proceed- ings of Robotics: Science and Systems, Sydney, Australia, July, 2012.
[2] T. Chung, G. Hollinger, and V. Isler., Search and pursuit-evasion in mobile robotics. Autonomous Robots, 2011.
Imagine being a police officer doing your daily routine job. You are in a patrol car on the highway, watching the cars and trucks drive by. You are also looking for speeders to warn them to be more careful and maybe you’ll ticket them. It has been a very boring day for you, since you have only been called on your radio once, and it was for an accident (fender bender). Almost at the end of your shift, a blue car drives by going ninety miles an hour, but you know the speed limit is only fifty-five miles an hour. You pull the patrol car out of the gravel area that you had been sitting in and you start to follow the car. You put your lights on and catch up to them. After a few minutes you pull the person over. You get out of the car and start walking over towards the blue car. You are right about to talk to the driver and he drives off, leaving nothing but dust in your face. Now, the adrenaline is pumping in your body, but what should you do? You could call for backup or follow the blue car. Anything could happen. How far should you actually go? This is the question that will be answered in this paper. I will explain what police pursuit is and some different things officers do during a pursuit. I will also give some statistics about the fatalities that have happened in a police pursuit. I will also illustrate my opinion about how far police pursuits should go.
Table 3-4. Likelihood Definitions, National Institute of Standards and Technology (NIST): Risk Management Guide for Information Technology Systems. Special Publication 800-30, 2002.
In her article “Alone Together: The Robotic Movement,” Sherry Turkle describes how our current generation has transformed due to technology advancement, especially with robots. Inventions of robots have become familiar in almost all countries, particularly in japan she explains how technology has changed the basic human interaction to conversations in electronic devices.
The team decided unanimously to take the software approach to the project, and use LabView to write a program which would allow the robot to complete the maze. Before any program was written however, the team spend time evaluating different suggestions on how to approach the problem. Each of these solutions presented benefits and drawbacks, and these were each assessed before decidin...
In Video Games AI will be used to generate reactive behaviors primarily in supporting characters of the game, similar to human-like cognitive abilities. With a help of AI, supporting characters will able to find a route from one end to another following the main player trail, taking consideration the topography, hurdles and possibly war conditions. It can also be used to know if the player is nearby the opponent, various sensing abilities like seeing, hearing, or opponents can cheat by knowing main player’s position, this can be done by querying game engines. All these functions are recently included in Uncharted: The Lost Legacy
Mullarky, J.W., Combat Search and Rescue-The CINC's Dilemma (Alexandria, VA: Defense Logistics Agency. Defense Technical Information Center, 1990)
6. Aleksander, Igor, and Piers Burnett. REINVENTING MAN: The Robot Becomes Reality. New York: Holt, Rinehart and Winston, 1983. p 25.
In most of the situation chance to finding victims still alive the rescuers have very short time to find the trapped or missing victims in collapsed structure. The solution for this use technology can make a great help for rescuers. Intelligent mobile robots can be very helpful and efficient tools to speed up search and rescue operation. Rescue robots are also useful to do the job in situations that are dangerous for human rescuers. They can enter into gaps and move though small hole that difficult for human and even trained dog. This reduces the risk a human rescue team is exposed to and allows them to plan the rescue more effectively.
The study will critically analyze the Functional Movement Screen developed by Cook, et al., (2006). According to Schneiders, et al., (2010), “the Functional Movement Screen was developed as a comprehensive pre-participation and pre-season screen tool that challenges an individual’s ability to perform basic movement patterns ” (p.76). Cook, et al., (2006) developed the FMS when there was not a functional evaluation standard to make rehabilitation protocols that take into account how a patient functionally moves (p.62). The FMS is an evaluation tool that is comprised of 7 fundamental movements to assess an individual mobility and stability (Cook, et al., 2006, p.63). Observation has indicated that athletes cannot perform
There are many agencies that have the ability to perform Signals Intelligence, electronic reconnaissance and most of all signals intelligence from all available sources inducive to the environment. The United States Army uses the Joint Surveillance Target Attack Radar System (Joint STARS) as its main entity for signals collection. The Joint STARS platform was designed to provide a highly effective, real-time, collection tool to the ground task force commanders during battlefield engagements, but for the past ten years, the sensor has been used for peacekeeping missions. Army analysts can predict the enemy’s behavior by identifying choke points, potential avenues of approach and operating patterns such as supply routes and logistical points. The analysis gives the ground commander a more complete view of the enemy’s weaknesses. The United States Air Force employs the Joint STARS in a different mission than the Army. The Air Force uses Joint STARS as a battlefield management tool versus a collection tool as used for by the Army. The Air Force uses the platform to provide immediate and direct support to the Air Component Commander and continue to observe the enemy’s movement from a far distance in the sky. Providing essential data to commanders such as size, direction, and speed of the adversaries, with minimum casualties while under battlefield conditions, makes the Joint STARS an extremely effective tool. The Air Force also employs the Predator vehicles, which are unmanned aerial vehicles that are used for reconnaissance.
...mpany up and running through any kind of interruptions such as power failures, IT system crashes, natural or man-made disasters, supply chain/vendor problems and more.
This paper will give a brief definition of the term Artificial Intelligence (AI). It will take an in-depth look at the origins and purpose of this exciting field in computer science. In particular, this paper will discuss a few of the many subcategories of research, applications and current technological obstacles that scientist face when developing AI. In addition, the author will look at AI’s various military specific applications for the purpose of training, target acquisition and command and control capabilities.
At the present day, the skills computers have doubts the ability to develop long-term strategies to complete tasks. At a freestyle chess match, a match where a computer and a human faces another human-computer team, Garry Kasparov reported that “his machine partner possessed greater ‘tactical acuity,’ but he possessed greater ‘strategic guidance’” (Brooks). That is reasonably true, as “a computer can calculate a zillion options, move by move, but a human can provide an overall sense of direction and conceptual time frame” (Brooks). Without strategic guidance and no direction, computers will struggle with some difficult situations, as every situation is very different, and some of the choices they make are detrimental to humankind. Computers currently have the ability to store many different kinds of algorithms, but when it is time use them, they are completely useless (Hardwidge). Just having fancy equations is not enough for twenty-first century demands; the need to apply them for practical scenarios are more important.
Search and Planning: It is an important area when it comes to games like chess and checkers. Various search algorithms are used to search for an appropriate move. Planning algorithms have to be designed in a way to minimize play time and also reduce the use of future resources.
You cannot just wander willy-nilly, rattling gear, smoking cigarettes or even eating, there is a direction the patrol moves in whether you know the final destination or not. Distances must be maintained from others in the event of an attack. This prevents one hand grenade or other explosive devices from injuring the entire patrol, and distance from others may make it more difficult for a sniper to engage targets as