Self healing robots ppt free download




















Testing delay. This suggests grasping that future machines may be able to continually detect changes in their own environment. Open navigation menu. Close suggestions Search Search. User Settings. Skip carousel. Carousel Previous. Carousel Next. What is Scribd? Explore Ebooks. Bestsellers Editors' Picks All Ebooks. Explore Audiobooks. Bestsellers Editors' Picks All audiobooks. Explore Magazines. Editors' Picks All magazines.

Explore Podcasts All podcasts. Difficulty Beginner Intermediate Advanced. Explore Documents. It is usually an Electro mechanical system, which, by its appearance or movements, conveys a sense that it has intent or agency of its own. Has some degree of intelligence or ability to make choices based on the environment.

Is programmable. Can move with one or more axes of rotation or translation. Can make dexterous coordinated movements. The need for automated error recovery is even more acute in the field of remote robotics, where human operators cannot manually repair or provide compensation for damage or failure.

The four legged robot automatically synthesizes a predictive model of its own topology through limited yet selfdirected interaction with its environment, and then uses this model to synthesize successful new locomotive behavior before and after damage. These findings may help develop more robust robotics, as well as shed light on the relation between curiosity and cognition in animals and humans. Self healing robots are the ones which can adapt to minor injuries and continue its job.

A robot is able to indirectly infer its own morphology through self directed exploration and then use the resulting self models to synthesize new behavior. If the robot s topology unexpectedly changes the same process restructures its internal self models. Based on geometric arrangement of units Lattice architecture Chain architecture Hybrid architecture Based on reconfiguration of units Deterministic Stochastic Based on design of modules Homogeneous Heterogeneous.

The target system is a quadrupedal, articulated robot It consists of rectangular body and four legs attached to it with a hinge joint Each leg has a upper and lower leg attached together with a hinge joint All 8 hinge joints are actuated with high torque servomotors Robots can automatically synthesize predictive models of its own topology Equipped sensors with suite of different.

The overall dimensions of a robot Parameter Width and length of the body Height of the body Length of the upper leg Height of the upper leg Length of the lower leg Diameter of the foot Value mm 85 95 26 Robots depend on internal maps either provided or learned , and sensory data to orient themselves with respect to that map and to update their location. If the environment is changing or noisy, the robot has to navigate under uncertainty, and constantly update the probabilities that a particular action will achieve a particular result.

The situation becomes even worse if the robots own shape and configuration can change, that is, if its internal model becomes inaccurate. If the robots topology unexpectedly changes, the same process restructures its internal self-models, leading to the generation of qualitatively different, compensatory behavior.

In essence , the process enables the robot to continuously diagnose and recover from damage. Our approach is based on the concept of multiple competing internal models and generation of actions. The process is composed of three algorithmic components that are executed continuously by the physical robot while moving or at rest.

Estimation Exploration Algorithm is used Two evolutionary algorithms are used Estimation evolutionary algorithm Exploration evolutionary algorithm It has two functions Damage hypothesis evolution estimation phase Controller evolution exploration phase The algorithm also maintains a database, which stores pairs of data.

Two hypothetical robots tested here are: 1. Quadrupedal robot 2. Hexapedal robot The figure shows simulated robots used for experimentation. The Controllers Robots are controlled by neural network.

There are 3 layers in the neural network input, hidden and output layer. In general, they can perform tasks faster, more accurately and with a lot less risk to human life. Recover from minor injuries. Accurate reproduction of repetitive actions. Successfully reported this slideshow. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Next SlideShares. You are reading a preview. Create your free account to continue reading. Sign Up. Upcoming SlideShare. The self-healing mechanism and application of acrylic materials. Embed Size px. Start on. Show related SlideShares at end. WordPress Shortcode. This four-legged robot can automatically synthesize a predictive model of its own topology where and how its body parts are connected , and then successfully move around.

It can also use this "proprioceptive" sense to determine if a component has been damaged, and then model new movements that take the damage into account. Used to evolve a hypothesis about the actual failure incurred by the physical robot.

Characterization of the target system 2. Initialization 3. Estimation Phase 4. Exploration Phase 5. Termination 6. Posts: 2 Threads: 0 Joined: Jul Posts: 2, Threads: 1, Joined: Jun Error Recovery Recovery from error, failure or damage is a major concern in robotics. Fig 1. A robot is able to indirectly infer its own morphology through self-directed exploration and then use the resulting self-models to synthesize new behaviors.

Josh Bongard was a postdoctoral researcher at Cornell while performing this research and since then moved to the University of Vermont where he is now an Assistant Professor.

Victor Zykov is a Ph. Posts: 6, Threads: 1, Joined: Jul Posts: 4, Threads: Joined: Feb Posts: 1 Threads: 0 Joined: Aug Important Note..! If you are not satisfied with above reply ,..



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