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patents on robots and mapping benefits

this patent details an innovative approach to simultaneous localization and mapping slam technology which allows autonomous devices to exactly determine their location and map their environment in real-time the method utilizes advanced sensor fusion and algorithm optimization to improve efficacy and efficiency making it suitable for applications in robotic systems autonomous vehicles and enhanced reality systems: https:patentsjustiacompatent12094145
simultaneous localization and mapping patent

a recent patent describes a new approach to simultaneous localization and mapping slam technology enhancing autonomous navigation in robotic systems and augmented reality systems it presents an advanced algorithm that significantly enhances accuracy and speed in dynamic environments by integrating real-time sensor data with predictive modeling this innovation promises to revolutionize the precision and efficiency of automated and ar spatial orientation and mapping: https:patentsjustiacompatent12092467
slam patents

automating products is extremely expensive and time consuming and there is a minefield of ip to navigate we039ve done the leg work and oem039s need only license our software module that runs on low cost and processing power hardware and their products can enter the mobile robotics space in no time https:wwwgbi100comenexhibition333
slam technology and navigation

discovering and plotting the boundary of an enclosure: https:usptoreportpatentgrant10612929
patents on simultaneous localization

efficient coverage planning of mobile robotic devices: https:wwwonscopecomipownerenownerip43182-ai-inchtml
autonomous robots patent

patents on simultaneous localization and mapping slam and virtual reality vr: https:patentsjustiacompatent20210089040
simultaneous localization of robot within environment

combining perceived depths to construct a floor plan using camera slam: https:usptoreportpatentgrant10482619
patents on simultaneously mapping and localizing

slam has been the subject of technical research for many years but with vast improvements in computer processing speed and the availability of low-cost sensors such as cameras and laser range finders slam is now used for practical applications in a growing number of fields https:usptoreportpatentgrant10422648
simultaneous localization and mapping slam

obstacle recognition method for autonomous robots: https:usptoreportpatentgrant10788836
patent on visual simultaneous localization and mapping slam

learn about our patents on slam and simultaneous localization and mapping slam here: https:wwwlinkedincompostssimultaneouslocalizationandmapping_qslam-navigation-stack-activity-6696806007911280641-1dly
slam method for constructing a map

method for constructing a map while performing work https:patentsjustiacompatent10809071
our versatile mobile platform is perfect for transporting valuable cargoincluding you

our versatile mobile platform is perfect for transporting valuable cargoincluding you passenger pod gets you to your destination safely and efficiently pods are usually owned or leased by passengers and available in a variety of shapes and sizes some are designed to allow you work during the trip while others could give you a massage while watching your favorite tv show some may have a treadmill inside so you can walk on your way home pods are kept in shared parking facilities chassis is separate from the pod and shared amongst pod owners it works in 4 simple steps: 1- request pickup: visit your pod station and request a ride on your phone 2- chassis alerted: a nearby chassis is alerted and given your pods location 3- ride update: check your phone the chassis is just a few minutes away and will be arriving shortly 4- pod pickup: with you in tow the pod will now be transferred to the mobile chassis unitwhen low on battery the chassis will alert the team and swap places with a
nao humanoid climbing a full spiral staircase autonomously

this video shows our laser-equipped nao humanoid climbing a spiralstaircase details will be presented in the paper quotimproved proposals for highly accurate localization using range and vision dataquot by stefan owald armin hornung and maren bennewitz at the iros 2012 conference the robot integrates observations from the laser rangescanner on top of its head with observations from the camera locatedin its lower head by consistently matching the known staircase modelto a set of images acquired on each step the robot is able to accurately locate itself towards the stairs and to climb them reliablysee http:hrlinformatikuni-freiburgdeanimations-stairshtml for more information