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  1. Click ‘Get Form’ to open the PA SLAM Wrestling Club Registration Form in the editor.
  2. Begin by filling out the Wrestler’s Information section. Enter the wrestler's name, nickname, date of birth, age, current grade, school, coach’s name, cell number, email address, current weight (not weight class), t-shirt size, and shorts size.
  3. Next, complete the Custodial Parent/Guardian Information section. Provide the names of the guardians, their address including city and zip code, home phone number, cell phone number, and email address.
  4. In the Emergency Contact Info section, enter the name and phone numbers of an emergency contact.
  5. Review and sign the Liability Waiver. Ensure that you understand the risks involved and provide your printed name and signature along with the date.
  6. Complete the Photo/Video Release by providing your printed name and signature along with the date to grant permission for promotional use of images.
  7. Finally, if applicable for club use only, fill in registration details such as date registered, payment date, amount paid, and check number.

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SLAM (simultaneous localization and mapping) is a technological mapping method that allows robots and other autonomous vehicles to build a map and localize itself on that map at the same time.
SLAM stands for Simultaneous Localization and Mapping (sometimes called Synchronized Localization and Mapping). It is the process of mapping an area while keeping track of the location of the device within that area.
LiDAR SLAM excels in high-precision applications like autonomous driving. Visual SLAM captures faster but is less accurate in depth measurement. Adaptability: LiDAR operates well in harsh or GPS-denied environments.
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Visual simultaneous localization and mapping (vSLAM), refers to the process of calculating the position and orientation of a camera, with respect to its surroundings, while simultaneously mapping the environment. The process uses only visual inputs from the camera.

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SLAM, in the most simplistic explanation, is a method to create a map of the environment while tracking the position of the map creator. This mapping and positioning method is the key piece in enabling robots to autonomously know their current location in space and navigate to a new location.
Unlike traditional SLAM approaches that rely on lidar or other sensors, visual SLAM processes images from monocular, stereo, or RGB-D cameras to estimate motion and reconstruct the surroundings.

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