(Robotics and Perception)

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Presentation transcript:

(Robotics and Perception) บทที่ 6 วิทยาการหุ่นยนต์และการรับรู้ (Robotics and Perception) นำเสนอโดย ผู้ช่วยศาสตราจารย์จุฑาวุฒิ จันทรมาลี หลักสูตรวิทยาการคอมพิวเตอร์ มหาวิทยาลัยสวนดุสิต

Robotics

history

Language used for Robotics

It is a broad field with so many subareas.

Meaning of Robots A ROBOT is a mechanical or virtual artificial agent, usually an electro-mechanical machine that is guided by a computer program or electronic circuitry. A Robots can be autonomous or semi-autonomous. A Robot may convey a sense of intelligence or thought of its own. • Honda's Advanced Step in Innovative Mobility (ASIMO) and TOSY’s TOSY Ping Pong Playing Robot (TOPIO) to Industrial robots, medical operating robots, patent assist robots, dog therapy robots, collectively programmed Swarm robots, UAV drones such

Types AI Works in robots

Natural Language Process in robotics Processing of Natural Language is required when you want an intelligent system like robot to perform as per your instructions, when you want to hear decision from a dialogue based clinical expert system, etc. here are two components of NLP as given − Natural Language Understanding (NLU) Understanding involves the following tasks −Mapping the given input in natural language into useful representations . Analyzing different aspects of the language. Natural Language Generation (NLG) It is the process of producing meaningful phrases and sentences in the form of natural language from some internal representation.

Intelligence for robotics: The ability of a system to calculate, reason, perceive relationships and analogies, learn from experience, store and retrieve information from memory, solve problems, comprehend complex ideas, use natural language fluently, classify, generalize, and adapt new situations

Types of Intelligence for robotics: 1. Linguistic intelligence 2. Musical intelligence 3. Logical-mathematical intelligence 4. Spatial intelligence 5. Bodily-Kinesthetic intelligence 6. Intra-personal intelligence

Intelligence

What is Fuzzy Logic? Fuzzy Logic (FL) is a method of reasoning that resembles human reasoning. The approach of FL imitates the way of decision making in humans that involves all intermediate possibilities between digital values YES and NO. , such as − CERTAINLY YES POSSIBLY YES CANNOT SAY POSSIBLY NO CERTAINLY NO

Application Areas of Fuzzy Logic Automotive Systems Automatic Gearboxes, Four-Wheel Steering, Vehicle environment control Consumer Electronic Goods Hi-Fi Systems, Photocopiers Still and Video Cameras, Television Domestic Goods Microwave Ovens, Refrigerators, Toasters, Vacuum Cleaners, Washing Machines Environment Control Air Conditioners/Dryers/Heaters

How does the robots works ?

Daily life application • Home Security • Bank • Post office • Websites • Digital cameras • News and publishing • Financial trades • Health and medicine • Games and toys

Fields of Robotics in AI

Fields of Robotics in AI

Fields of Robotics in AI

Hard-task robot with AI Robotics: Assembling Robots Welding Robots Behavior based robotics Dancing Robots Robot navigation

Robotic in house These robots are used for house cleaning, serving , assisting people and Etc…

AI in Bank and trading Banks use artificial intelligence systems to organize operations, invest in stocks, and manage properties. In August 2001, robots beat humans in a simulated financial trading competition

Chat bot Some virtual assistance available

Achievements In 1996 Greatest Chess Player of All Time Garry Kasparov from Russia face IBM’s Deep Blue and Garry managed to beat Deep Blue but Next year Deep Blue Won. In 1998 Undisputed champion of Rapid Chess Vishwanathan Anand faced off against Robel-10 and Robel-10 Win. In 2002 Worlds Highest Ranker Player Vladimir Kramnic faced off Deep Fritz (Super comp.) Vladimir Draw match but

Achievements DARPA Grand challenge -123 miles through the desert in the year 2004 & 2005 DARPA Urban challenge – autonomous driving in traffic in the year 2007 DARPA Robotics Challenge Finals test state-of-the-art robots’ ability to perform tasks related to disaster response

drawbacks Limited Ability Slow Real Time Response Can’t Handle Emergency Situation Difficult code High Cost

We were also been warn some of scientists and experts

Conclusion Finally, as the technology Improves, there will be new ways to use robots with A.I which will bring new hopes and new potential

history

history

จบบทที่ 6