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From AI to Robotics - Digital Library Univ STEKOM

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For permission to photocopy or use material from this work electronically, please go to www.copyright.com (http:// . www.copyright.com/) or contact the Copyright Clearance Center, Inc. Visit the Taylor & Francis website at http://www.copyright.com/ ://www.taylorandfrancis.com and the CRC Press website at http://www.crcpress.com.

Quest for the sentient robot 283

  • SELF AWARENESS, CONSCIOUSNESS AND FREE WILL 285
  • SEMI-SENTIENT PARADIGM AND IT‘S LIMITATIONS 297 9.5 MEMORIES, MEDITATION AND THE INNER WORLD 302
  • TWILIGHT OR REBIRTH OF OUR CIVILISATION? 336 10.3 SUPERINTELLIGENCE, FUTURE TECHNOLOGY AND RAY KURZWEIL 342
  • EARLY PIONEERS AND THE STORY TILL SHAKEY
  • CURRENT-DAY MOBILE ROBOTICS
  • CULTURAL AND SOCIAL IMPACT

These are the earliest sketches of the comic strip I drew in the summer of 2015. In the third comic strip, Toby plays an important role in treating a mother's medical emergency.

SUMMARY

Robots have had effective human interactions as artificial pets, in the role of caregiver, romantic attachment and lover, organized tour guide, receptionist, etc. Human-robot interaction and robot ethics are avenues of research that will find application in the near future.

NOTES

The etymology was coined by Austrian scientist Manfred Clynes in the 1960s to suggest the need to use AI to improve human biological functions to survive in hostile and adverse environments. For example, Kiks is a freely available MATLAB plugin for 2D simulation of the Khepera robot, Kiks is available at http: // www.

EXERCISES

FROM AI TO ROBOTS

Apart from these experimental efforts, another cue for autonomous agent was Toda's model of mushroom eaters. These hypothetical organisms were capable of long-term self-preservation while attending to multiple goals and provided the earliest model of an artificial autonomous agency.

ARTIFICIAL INTELLIGENCE FOR ROBOTS

E(ur) =Σru+f(v0, Σrv, wr) (2.1) where the form of function2 f will depend on the adaptability of the fungus meter to the site. It is compelling to suggest that the mind should be understood as a property of the agent's body that is constantly interacting with the environment.

ANTHROPOMORPHISM — A TREASURE TROVE FROM MOTHER NATURE

The optical flow contains information about both the layout of the surface and the movement of the agency. Behaviourism, a branch of psychology, is the study of the relationship between one's environment and the impending behavior. It is broadly a 'black box' approach and the brain's cerebral functions are irrelevant.

The behavior modeled in ANIMAT can be used to understand the engineering and biological mechanisms of insect and animal locomotion. 1.a) The artificial insect project: The development of animal behaviors in interactive modules connected by control loops was done independently by Beer, Lorenz, Baerends and Arkin. This project showed that behavioral simulation using robots can be a suitable design tool and such methods can easily be used for animal-robot interactions. 3.b) INSBOT: A mobile robot in the cockroach colony: Since ANIMATs are animal-motivated, they must be socially acceptable in animal societies.

EVALUATING PERFORMANCE - AI VS. ENGINEERING

Ecobot-IV is the latest and ongoing in this series of robots and is intended to study the effects of design miniaturization. An engineering solution would be a powerful vacuum cleaner, while a cognitive science solution would be a mobile robot that goes around, picking up objects and identifying them with the familiar image of the ping pong ball. While this will work on land, water and air as long as certain angles and distances can be obtained, it will be difficult for SLAM to have this flexibility.

However, in nested agents, the desired behavior of the robot is obtained as an emergent property of the agent-environment interactions. 71 performance, computing capacity and hardware aspects of the machine on which the simulation is performed, ie.

THREE FORKS IN THE ROAD

These robots can "heal" and "grow" a lost limb(s) on the fly using a built-in 3D printer. Therefore, such a solution to the symbol grounding problem is biased toward human knowledge and reasoning rather than the arbitration of an autonomous agent. It's not a question about artificial intelligence or programming, but rather a hole in logic and our understanding of the world, and is often reframed as a "problem of relevance".

The apparent heir to the throne of Denmark, Prince Hamlet, is the protagonist of the play. Toda's 1962 research paper, "The Design of a Fungus Eater: A Model of Human Behavior in an Unsophisticated Environment" is the first model of an autonomous agent, but Toda made no mention of the word autonomy or autonomous in the paper does not.

CONTROL PARADIGMS

Therefore, the control of a mobile robot should be organized using a parallelism approach that includes elegant degradation and elegant exception handling so that the failure of a single hardware or software module does not impede the robot's broad goals. The second approach is based on the principles of behaviorism [52, 53], where instead of creating a priori maps, the robot starts to move based on the merits of sensory-motor abilities. This approach, at least a priori, eliminates planning and deals with the real-time dynamics of the environment as immediacy.

When applied in a navigation context, the robot must draw elaborate maps of the environment before it begins to move. The reactive approach, the agent acts on the merits of the situation, no apparent planning is involved.

Braitenberg was motivated by biology to design the crossed connection, specifically the human eye, where the left eye relates to the right side of the human brain, and vice versa. Touch and auditory response are similar to vision and go to the opposite side of the brain. Straight ahead is usually a rarity, so for a more general scenario, consider the light source to be on one side of the vehicle as shown in the figure.

However, it will be difficult to predict the motor response when each of the modules interacts with the environment together with the others. If, instead of an excitatory or inhibitory sensor response, the sensor response is continuous as shown in Figure 3.8 and the vehicle speed increases with increasing light intensity, it reaches a maximum and then decreases with increasing intensity.

DELIBERATIVE APPROACH

Failure of any of these modules will cause the robot to malfunction. world such as Braitenberg and Walter and the obvious need for parallelism in the control of mobile robots led to the development of the reactive paradigm or vertical decomposition. In addition to the inadequacy of the deliberative approach, two other reasons contributed to the new artificial intelligence: motivation from the natural world and the differences between robots and computers. AI was developed in the second half of the 20th century with an emphasis on the development of number crunching systems and helped in the development of computers. the final behavior of the robot is quite different from what is coded.

Going with serial operation, the robot must first avoid the obstacle and move to point B, where the food will be out of its detection range. At point A, the robot must move to the right to find the food, which is not possible for serial execution.

REACTIVE APPROACH

Walter's turtles, Toda's fungus-eating model and Braitenberg's vehicles proved to be springboards for the development of new artificial intelligence. Phenomenon: The final behavior of a robot is a phenomenon that cannot be determined before runtime. Due to the design and predictability of the system, it is necessary to minimize the interaction between the layers.

However, as performance in reactive systems emerges, it is difficult to confirm the behavior of the system. ASM is a selection-based competitive implementation of behavior-based paradigm and it overcomes the problem of the predetermined priorities used in the subsumption architecture.

A CRITIQUE OF THE NOUVELLE AI

So small changes at the lower levels are difficult to implement without redesigning most of the other layers. In the early 1960s, agent-based robotics was conceived more as an extension of the computer and therefore intelligence was approached as the Cartesian model of the computer. In the 1990s, Varela and fellow researchers developed the enactive paradigm by extending Merleau-Ponty's phenomenology of the body to embodied AI.

It is imperative that the study of the human brain is expected to have a profound impact on cognobotics. This test also shows that the phenomenon depends on the sophistication and awareness of the observer.

THE TOOLS: NAVIGATION AND ADAPTIVITY

If the shape of the robot must be considered, the configuration space must be modified by adding the dimensions of the robot to the obstacle boundary. The method is easy to implement and is a computationally advantageous on-line approach to collision avoidance for robots and is intended for situations where there was no prior model of the local environment, i.e. the agent reactively senses the environment while performing a movement and is therefore not tied to expensive hardware. Obstacles in the safety zone are only on one side of the gap (closest to the goal) of the free walk zone.

Obstacles in the safety zone are located on both sides of the clearance area opening. The robot is not shown here, but shown as the center of the safety zone.

ADAPTIBILITY AND LEARNING

For example, for a sub-goal technique that leads to the final goal, the robot must learn to recognize the sub-goal, viz. Here the robot must follow the given circuit path (around the big gray blob) and send photos and information back to the mission command at the dotted points (sub-goal) on the map. To overcome uncertainty, this is more noticeable when the robot performs repetitive tasks in a predictable domain.

Simple navigation algorithms cannot take into account robot shape and kinematic considerations. Adaptive techniques produce new behavior in the robot by robustly adapting to changes in the environment.

SOFTWARE FOR ROBOTICS

It modeled the world in two dimensions and could be used for navigation as simple as solving a maze - in the spirit of the micromouse. ROS started with two simulators, stage and gazebo - both excluded from the player project. In the third image, the small red pioneer robot is seen in the lower left corner and the green box is a movable cube located in the upper right corner, the semicircle surrounding the pioneer robot is the field of view of the SICK LMS 200 laser.

The Gazebo interface (a) can create robots in a simple environment - the robot here is turtlebot-II and the environment consists of 3 giant cubes. ROS easily implements the first six of the above, but it has not yet been used for social robots or swarm robots.

A VERY SHORT INTRODUCTION TO ROS

By correcting the code to the smallest range≤1.2 (~CD in the image below), the problem is solved. Box-pushing was never coded, it appears as a result of the code interacting with PR2 and the box world. STDR Team: The STDR simulator development process started in November 2013 with a group of electrical engineers working in robotics and specifically members of P.A.N.D.O.R.A.

STDR Team: Our next steps would be towards a more realistic environment simulation. It is equipped with 54 servo motors and has 42 degrees of freedom and requires 120 volts of direct current. The torso can be equipped with legs to become a full humanoid, deployed on a pedestal or mounted on a four-wheeled rover.

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