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This invention relates to a cleaning apparatus and, more particularly, to methods for the autonomous control of such an apparatus. There is a great deal of current interest in autonomous cleaning devices or robots. With rising janitorial labor costs, increased computer processing power and dropping prices for sensors and electronic hardware, autonomous devices that once would have been too expensive or even impossible are now practical.

To clean larger floor areas, a method employing distance sensors having a longer range than that of sonar e. Light wave distance sensors, such as laser distance sensors, can be used over distances greater than those in the largest buildings. These light wave distance sensors have excellent relative distance measuring accuracy, but tend to have poorer absolute distance measuring accuracy. This is due at least in part to the small beam size exhibited by the sensor.

The beam can enter relatively small openings or irregularities in the target wall or object and provide misleading distances. A method for controlling a self-propelled cleaning robot between a first and a second wall, the robot having a first side and a second side, the first and second sides having a first and second sound wave distance sensor, respectively, and the second side having a light wave distance sensor, includes making a distant wall baseline pass along the first wall while measuring distance from the robot to the first wall with the first sound wave distance sensor and measuring distance from the robot to the second wall with the light wave distance sensor and determining a distant wall baseline.

The method also includes making a near wall baseline pass along the first wall while measuring distance from the robot to the first wall with the second sound wave distance sensor and the light wave distance sensor and determining a near wall baseline. The method further includes navigating a serpentine path toward the second wall in response to distance measured from the robot to the walls with the light wave distance sensor in combination with the first wall baseline and the second wall baseline.

The robot 10 is provided with a right drive wheel 20 driven by a motor 21 and a left drive wheel 22 driven by a motor The wheels 20, 22 provide for movement and steering. Encoders 24, 26 for respective drive wheels 20, 22 provide digital indications of the amount of revolution of each drive wheel 20, The encoders 24, 26 may be, for example, shaft encoders on either the wheels 20, 22 or some shaft intermediate thereto.

Based on a known drive-wheel circumference, this revolution information provides a measure of the distance of travel of the robot 10, as well as maneuvering information. A right sound wave sensor 28 measures distances from the robot 10 to a wall or boundary to the right of the robot A left sound sensor 30 measures distances from the robot 10 to a wall or boundary to the left of the robot The sensors 28, 30 may be, for example, ultrasonic sonar sensors.

Sonar sensors may have, for example, a maximum range of 5 meters to either side of the robot A left light wave sensor 31 measures distance from the robot 10 to a wall or boundary to the left side of the robot The sensor 31 may be, for example, a laser distance sensor.

The laser sensor may have, for example, a maximum range of between 10 and meters. A forward sensor 32 detects obstacles in front the robot The sensor 32 may be, for example, a contact sensor, a sonar sensor or an infrared sensor.

The operation of the components of the robot 10 are controlled in the preferred embodiment by a microprocessor 34 having associated memory It is also possible to control the robot 10 with a general purpose computer or other digital controllers known in the art.

The distance sensors 28, 30, 31 may provide, for example, distance information to the microprocessor 34 twice each second. The encoders 24, 26 provide distance travelled information to the microprocessor The forward sensor 32 provides information to the microprocessor 34 on obstacles to the front of the robot Electric power for the robot 10 is provided by a battery In operation, the robot 10 makes a distant wall baseline pass FIG.

Using the right sound sensor 28, the robot 10 navigates along the wall 40, measuring the distance from the robot 10 to the wall 40 and maintaining a path generally parallel to the wall 40 in response to the measured distance. As the robot 10 moves along the wall 40, the left light wave sensor 31 is used to measure the distance to the generally parallel opposite wall The distance measured by the left light wave sensor 31 establishes a distant wall baseline.

Using the left sound wave sensor 30, the robot 10 navigates along the wall 40, measuring the distance from the robot 10 to the wall 40 and maintaining a path generally parallel to the wall 40 in response to the measured distance.

As the robot 10 moves along the wall 40, the left light wave sensor 31 is also used to measure the distance to the wall The distance measured by the light wave senor 31 establishes a near wall baseline.

The robot 10 uses the light wave sensor 31 to measure the distance to the walls 40, The distance to the wall 40 is used in combination with the near wall baseline to navigate when running with the light wave sensor 31 facing the wall The distance to the wall 42 is used in combination with the far wall baseline to navigate when running with the light wave sensor 31 facing the wall The baselines are used to provide an absolute reference for the distance measured by the light wave sensor The robot 10 uses the differences between the baseline value and the then current value to establish a "true" distance from the walls.

This allows the robot 10 to make use of the excellent long range relative distance measurement accuracy of the light wave sensor 31 while using the excellent short range absolute distance measurement of the sound wave sensors 28, 30 for establishing the baselines.

It should of course be understood that the light wave sensor 31 may be equivalently located on the right side of the robot Also, the baseline passes can be in either order and need not be the first passes along the wall For example, the sound wave sensors 28, 30 may be used without the light wave senor 31 for navigating several passes until the robot 10 nears the range limits of the sound wave sensors 28, Further, it should be noted that the term "wall" includes other similar boundaries capable of being sensed by the sensors 28, 30, Alternatively, the limits can be established based on the starting point B and an obstacle 46 placed in the path of the robot The forward sensor 32 detects the obstacle 46 and thereafter the length of each pass is based on the distance from the point B to the obstacle In some cases, it may be advantageous to further include a finishing baseline pass along the wall This establishes a finishing baseline that is used by the robot 10 to calculate a serpentine path 48 to traverse all of the area between the finishing baseline and the wall The path 48 is then navigated based on the distance to the wall 42 measured by the closest of the sound sensors 28, It should be evident that this disclosure is by way of example and that various changes may be made by adding, modifying or eliminating details without departing from the fair scope of the teaching contained in this disclosure.

The invention is therefore not limited to particular details of this disclosure except to the extent that the following claims are necessarily so limited. Year of fee payment: A cleaning robot navigates a wide area by using sonar near the walls and a laser range finder for distances beyond the range of the sonar.

The sonar is used with the laser to establish baselines. The laser distances are then referenced to the baselines for improved accuracy during laser navigation.

SUMMARY OF THE INVENTION A method for controlling a self-propelled cleaning robot between a first and a second wall, the robot having a first side and a second side, the first and second sides having a first and second sound wave distance sensor, respectively, and the second side having a light wave distance sensor, includes making a distant wall baseline pass along the first wall while measuring distance from the robot to the first wall with the first sound wave distance sensor and measuring distance from the robot to the second wall with the light wave distance sensor and determining a distant wall baseline.

A method for controlling a self-propelled cleaning robot between a first and a second wall, said robot having a first side and a second side, said first and second sides having a first and second sound wave distance sensor, respectively, and said second side having a light wave distance sensor, said method comprising: A method according to claim 1, further comprising: A method according to claim 1, wherein said sound wave distance sensor uses ultrasonic sound waves.

A method according to claim 1, wherein said light wave distance sensor uses a laser light source. US USA en Method of recording trajectory data and sensor data for a manually-driven vehicle. Methods for real-time and near real-time interactions with robots that service a facility. Methods for repurposing temporal-spatial information collected by service robots. Manually driven determination of a region of interest roi or a path of interest poi for a robotic device.

Device and methods of providing air purification in combination with superficial floor cleaning. Methods and systems for movement of an automaic cleaning device using video signal. Method of automatically steering self-propelled floor-cleaning machines and floor-cleaning machine for practicing the method.

Apparatus for measuring position of moving body and apparatus for measuring relative distance. Running robot carrying out prescribed work using working member and method of working using the same. Methods and systems for movement of an automatic cleaning device using video signal. Systems and methods for the automated sensing of motion in a mobile robot using visual data.

Autonomous vehicle that runs while recognizing work area configuration, and method of selecting route. Vision-based navigation by a mobile robot with obstacle avoidance using single-camera vision and ultrasonic sensing.

Method for determining slippage of an autonomous mobile unit with three-wheel kinematics. Method and apparatus for generating and tracing cleaning trajectory of home cleaning robot.