Young designer Adrian Perez Zapata from Colombia, won this year's competition with his automated home cleaning concept entitled "Mab"Fancy coming home to find a swarm of flying mini robots doing your cleaning? That's the futuristic picture of domestic bliss envisioned by young Colombian designer Adrian Perez Zapata, whose Mab concept has won this year's Electrolux Design Lab competition.Each year the Design Lab competition sees students from all over the world invited to submit futuristic and life changing appliance designs and concepts. In 2013, the competition was inundated with over 1,700 entries from 60 countries, focusing on the themes of Urban Living, Social Cooking, Natural Air and Effortless Cleaning.Electrolux's panel of judges put their heads together to come up with eight deserving finalist, before announcing the winner last week.Adrian Perez Zapata's winning design turns the cliché of a humanoid robot doing the dusting on its head, and while the technology might not be quite there yet, the approach definitely makes sense given the rapid development of swarming micro-UAV systems.

Mab consists of a compact circular unit that hosts hundreds of flying mini robots designed to clean surfaces around the home. The central unit scans the house before sending its army of 908 tiny flying cleaning machines. Each mini robot would be fitted with solar technology on their wings to generate clean energy while they are set to the task of cleaning and deodorizing the programmed area. We're not sure if this is a case of "set and forget" or "turn on and run."In second place, Luiza Silva from Brazil presented her Atomium design concept, which involves a 3D food printer that in her words "prints each meal with the taste and aesthetic desired". The concept food printer would even allow children and family members to draw their desired meal before the printer scans the image and reproduces the real thing.Third prize in the 2013 Design Lab competition was awarded to Jeabyun Yeon from Korea for his Breathing Wall concept. This design features an integrated air cleaning unit which can be customized to emit perfumed odors, while the LED lighting changes color depending on the chosen scent or desired mood.

The remaining finalist submissions included the flexible 3F vacuum cleaner which changes shape depending on the desired cleaning tasks. As well as surfaces, 3F is designed to clean and deodorizes the air.Joining the clean air theme, the OZ-1 concept sees both an air purifier and stress relief gadget compressed into a necklace. The compact design can be worn comfortably around the neck while it sets to task of purifying the air you breathe, accompanied with therapeutic aroma oils.the oreck vacuum cleanerThe Global Chef incorporates laser hologram technology to beam distant loved ones or friends into the kitchen while you cook. robot vacuum cleaners in indiaThe concept also allows budding cooks to take part in virtual lessons from top chefs around the world.jual beli vacuum cleaner

Sticking to the cooking theme, the Nutrima design calculates the nutritional value of your food while you prepare it. It also informs you of potential toxins and the freshness of your food.Finally and my personal favorite is the Kitchen Hub, which keeps control of your household's food supplies. The appliance informs you of what needs to be eaten before its expiration date or what you need to get from the store. It also offers recipe ideas incorporating the ingredients you have at home, taking away the need to shop while also reducing food waste. Get by Writing reviews, Post Images, or Post Videos. The first five customers can get double points! ILIFE V7 Bluetooth Mini Robotic Vacuum Cleaner for Home APP Bluetooth Remote Control United states Via Estimate shipping fee Mermaid Tail Blanket Adult Little K... 1 Set Cute Sweater Red Wine Bottle ... 4 pcs Fashion Santa Clause Red Hat ... Red Non-woven Santa Toilet Set Chri... QQ6 Updated Robot Vacuum Cleaner Sm...

Super Silence - The noise level of this product keeps only 50dB. Even in one single room, you will not feel any noise. 2. Multi-angles Obstacle Detection - There are totally 11 pairs of obstacle sensors covering the whole front side of the product. Walls, corners, furniture, etc. No matter they are big parts or small obstacles, all could be effectively detected and product will not touch the obstacles to protect your belongs. 3. Everyday Scheduling - The scheduling setting of this product is very unique and it is everyday scheduling; you could schedule different cleaning time as you like. Enjoy a more relaxed life. 4. Dust Bin Wash - Dust bin could be washed by water. Simply wash dust bin under water per use to avoid dust blowing in the air to cause a second pollution 5. Various Cleaning Modes - Auto Cleaning Mode: The robot will clean a room automatically and adjust its cleaning according to the situation. - Spot Cleaning Mode: Put the product near a dirtier area, and press SPOT to start spot cleaning - Edge Cleaning Mode: When the robot detects obstacles (wall for example), it will start cleaning the corner with its side brush. 

- Scheduling Mode: When certain time is scheduled, the robot will leave the home base and start working in the scheduled time. 6. Support APP Bluetooth Remote ControlPackage Include- 1 x V7 Vacuum Cleaner - 1 x Charging Home Base - 1 x Remote Control - 1 x Power Adapter - 1 x Cleaning Tool - 1 x User Manual - 1 x Extra Side Brush - 1 x Cloth - 1 x Extra HEPA Filter 340mm x 340mm x 80mm • If the order has not been shipped; please contact DinoDirect Live Support for order cancellation.You will get your refund within 24 hours. • If the order has already been shipped; you may return the item to us postmarked within 30 calendar days of delivery. Please contact our Live Support to inform that. • Please contact Live Chat or click here to learn more return policy. Copyright DinoDirect Corporation 2016. See our privacy policy, terms of use, disclaimer and takedown policy.Volume 3, Issue 1, June 2016, Pages 37–43 •Method for the path planning of cleaner robot for coverage region.•Genetic Algorithms approach.•To demonstrate the efficiency and feasibility of our approache and validate the results obtained, we conducted a numerical comparison.

The vacuum cleaner robot should have a mechanism such as the artificial intelligence to solve the problem of cleaning the entire environment areas taking into account some factors such as the number of turns and the length of the trajectory. This robot’s mechanism or task is known as the path planning of coverage region (PPCR). In this paper, to resolve the problem of PPCR in a room environment, we propose an evolutionary approach. The latter is based on Genetic Algorithms (GA) which, consist of several steps to get the solutions. Each gene represents the robot position and some of chromosomes represent also the mini-path. In addition, this algorithm helps the robot to pass through every part of the environment by avoiding obstacles using different sensors. The results of simulation and comparison studies demonstrate the effectiveness and efficiency of the proposed approach.Artificial Intelligence has fully assisted in the use of many robotic applications such as mobile cleaning  [1], elderly people  [2], underwater  [3], aerial vehicles  [4] and agricultural robot  [5].

Vacuum cleaner robot, for instance, sweeps every accessible area in the entire room environment. This mechanism is known as path planning of coverage region (PPCR)  [6].Several coverage path planning approaches are proposed  [4], [7] and [8]. These methods in  [4], [7] and [8] are not efficient for the PPCR simply because they neglect the unknown environment.Hence, map building is an important task for the PPCR  [9]. We can get these map building by using the sensory data obtained from the deferent sensors through camera, infrared sensor and ultrasonic sensor. After that, it is combined with an algorithm to form a PPCR  [10], [11] and [12].However, the works  [10], [11] and [12] on PPCR did not guarantee the dynamic environment.Many kinds of algorithms and approaches have been used to accomplish the task of a PPCR with dynamic environments  [10] and [13].These approaches  [10], [12] and [13] have not take into account the optimization of the generated path length, the number of turns and the revisited areas.

The Genetic Algorithms (GA) yielded warrant results in many fields, such as finding the shortest path  [14].Therefore, this paper focuses on PPCR of vacuum cleaner robot in the room environment using a Genetic Algorithms.The proposed GA model is inspired by John Holland  [15]. In the proposed model, the map is built on a disk shape which represents the robot position that are connected to each other with only local lateral connections. The proposed model does not require knowledge of the room environment in advance, so it works in a real time and in a dynamic environment.This paper is organized as follows. In Section  2 we explain the robot’s task and the environment modeling. In Section  3 we give a brief description of the evolutionary approach and its application on the path planning of coverage region. The simulation studies with comparison to a conventional approach are given in Section  4. Finally, conclusion is drawn in Section  5.To clean an empty room two ways can be used the spiral or the zigzag motion trajectories.

The vacuum cleaner robot has an important mission which is to sweep every accessible area in the entire environment avoiding obstacles. When the robot pass through an area position it will be cleaned and if not yet it remains unclean.This task is named the path planning of the coverage region (PPCR) in which the robot should sweep each accessible free area and avoid obstacles with an efficient trajectory.This efficient trajectory should be short in distance and contains a minimum number of both turning angles and revisited cells.Before the vacuum cleaner robot starts its task, an important aspect must be guaranteed which is the modeling of the environment.The environment modeling is depended to the map of the workspace which is built using the sensory data obtained from different sensors through camera, infrared sensor and ultrasonic sensor.The workspace W is discretized by discs as a shape of cleaning robot instead of rectangles or squares to facilitate the motion of this robot. It is assumed that the diagonal length of a discrete area represented by that disc cell should be equal to a sweeping robot diameter.