TAILIEUCHUNG - Advances in Human Robot Interaction Part 2

Tham khảo tài liệu 'advances in human robot interaction part 2', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 14 Advances in Human-Robot Interaction Simultaneous localization and mapping SLAM is another feature we wish to discuss here. Within this respect robots are not only able to identify friends from foes but also they construct a real-time map of the situation without use of expensive equipments as laser beam sensors or vision cells. There have been a lot of change and improvement in robotics within current decade. Today humanoid robots such as ASIMO are able to talk walk learn and communicate. On the other hand there are new trends for self-adjustment and calibration in wheeled robots. Both humanoid and wheeled robots may be able to identify friends or foes communicate with others and correct deviation errors. Researchers have provided quite acceptable balance mechanisms for any type of inverted pendulum based robots from a range of humanoids holding themselves on one leg to wheeled robots standing on a wheel or two while moving. Yet they cannot jump nor run on irregular surfaces like humans do. However there are many other features including speech synthesizing and video processing enabled on more advanced robots. Advanced robots should be equipped with further human-like capability to reason and base it on knowing the meaning of its surroundings. At this point we tend to introduce the subject of Semantic Intelligence SI as opposed to and in augmentation of conventional artificial intelligence. Better understanding of environment and reasoning necessarily through SI fueled by the intelligence of knowing the meaning of what goes around. In other words SI would be enabling robots with the power of imagination as we do. As future study we aim to shed some light on bases of robotic behavior towards thinking learning and imagining the way human being does through Semantic Intelligence Reasoning. In next section we will discuss self localization of robots with limited resources while they have neither shaft encoders nor gyroscope. Consequent section will represent more .

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