A patent is a form of incorporeal right. It is the granting of property rights by a sovereign authority to an inventor. This means that the grant gives exclusive rights of the invention, its process, and design to the creator for a specific period - in exchange for a particular reveal of the invention. Mostly, the government handles the issues of patents on an invention, and the duration may last for a couple of years. Like twenty years in the United States. There are even different types of patents. Utility patents - This patent is issued for protection for the inventors who have invented the machine, a new and useful process, dailyeconomic buzz an article of manufacture, or a new composition. These are the most common type of patents. Design patents - The design patents are for the designs or look of an object. It should be new and innovative to qualify for a patent. Plant patents - These are for the plants that have been discovered and are capable of reproduction. The plant should be original and new to qualify. These are some patents one can find. Of course, other types depending on region to region. Now that the definition and types of patents are established, it is time to see the benefits of having a patent. It is profitable - Having a patent on the invention is beneficial as it can get profits. There are two ways that a patent briefly geek can be profiting; through licensing or dominating the market prices. In licensing, the owner can profit from putting on a license that they can sell if they do not have enough dogood think resources to produce more of the invention. With the direction towards market prices - they can set a price on their work as with a patent, the invention will only be available to a target audience, as a premium for them. It can decrease competition - Having a patent is powerful. If it is a start-up, having a patent can automatically put a barrier between others and the company because there cannot be similar products in the market. This way, a small company can have the upper hand over the multinational companies. And the big corporates can completely push the start-ups to the side with their invention and the patent on it. Patent attracts investors - With a patent, the investors will understand the seriousness of the invention. They will also have some relief in knowing that there will be no better or replicates of the invention, which will be a security for them. They can also monetize the intellectual gothits info property (IP) this way. Patents are cheap - Patents are cheaper to obtain than what they offer after getting on an invention. But then again, it depends on the complexity of the invention. The more complex the invention, the higher the patent will cost. For example, utility patents can come up to $20,000. But that too completely depends on the invention and the patent attorney. Some will cost less, but the legitimacy will also vary. For design patents, the cost could be considerably low. They can be good for a piece of clothing or any fashion accessory. That is why go for a proper patent attorney who can get the patent within a satisfying amount. Regarding patents, they can also be applied to SLAM methods, an alternative for GPS for robots. It is, after all, part of the technology industry where patents are highly valuable. So if you are looking for suitable patents on SLAM, then look no more. We have patents on Simultaneous Localization and patents on robot mapping and sensors as well. Contact us Before getting into the best solution, the first and foremost things to see are the definition of SLAM and its applications. The full form of SLAM is simultaneous localization and mapping. It is a method, a part of the robots' artificial intelligence, that helps them create maps and navigate around. This is because, like humans, even robots need maps to find their way. But unlike humans, they cannot use GPS because it does not show accurate area, which can be troublesome for the robots as they need precision. Moreover, GPS does not work so well indoors. This is why they need a simultaneous localization and mapping method to help them map their areas and the location as they go along the path. It is done by the robots when they align the data they collect with the stored data. Through that, they map out the areas for them to go. Even if it sounds easy, there are multiple stages to the process of mapping and aligning the stored data with the newly collected data. And a variety of algorithms are used to get the type of data parallel to the GPUs. Several applications are used in the SLAM method for robots, as mentioned above that the process contains multiple stages. These applications are: Sensor data alignment - With this application, a robot captures the images 90 times a second for depth image measurements and 20 times a second for precise range measurements. In computers, a robot is but a dot. So the sensors in the machine continuously gather data on their surroundings. With these data, they draw out the map and exact location of their current state. It records the distance between their previous location as well. Motion estimation - The rotational wheels in the robots measure how much distance it has traveled so far.art svent Inertial measurement units also record the speed and acceleration of the machine's position. All these data are put together in sensor fusion to know the overall performance and status of the robot's movements. Sensor data registration - Sensor data registration is also called a measurement between two data points. It can also be a measurement between a newly recorded measurement and the already built-in map. After the new data is registered, it can create a new area map or scan over the pre-registered map inside the robot. GPU for split-second calculations - The maps drawn by the robot is calculated 20-100 times a second. And for these calculations, the processing power needs to be high level. And for that, the GPUs should also be more powerful than the average CPU. Visual odometry and mapping for localization - Visual odometry is an application that uses video as the only input for data collection. As for mapping, there are three ways that can be done. One is to record and run algorithms for the individual controlling the robot to build the map based on the algorithm. The second is to stream the data algorithm for the controller at the station to draw out the map. And the third - the most recommended one - is to register data using odometry application and lidar scan so that the mapping can be done through the log mapping technique. This way, the robot does not have to run around the same area again and again to collect information. Now that we know SLAM and its applications, we need a good SLAM Ai to draw out maps for the robot to maneuver with. This is why we bring you the method of SLAM for a complex and large space. We even provide VSLAM solutions and have the camera of the robot astro. Buy from us for your robots, and get a biz mediafire life-changing experience.