Catos VR is a whimsical virtual reality game that allows players to sort defective cats and rebuild them into “perfect” felines. This room-scale VR experience is free to download and play. It also features a discord server where players can interact with Paolo and give feedback. The sim developer is very in touch with his customer and user community, which is reflected in the quality of the product.
Catos VR is a whimsical virtual reality game that allows players to sort defective cats and rebuild them into “purfect” felines.
Cat lovers are obsessed with the little furballs, and now they can get their fix in virtual reality. The adorable Cat Sorter VR, from indie developer Pawmigo, has launched on Steam and Viveport, the HTC VIVE content platform. The game lets players sort a stream of defective cats, such as those with shark fins or lobster claws, to replace their missing parts. The game also offers a frantic pace, as the conveyor belt never stops.
Designed to be room-scale, the game is playable alone or with friends. Its intuitive controls allow players to disassemble cats and rebuild them into “purfect” felines. The game’s glorifying gameplay will appeal to both adults and children alike.
The game is the debut title of Pawmigo, an indie studio formed just a year ago. Designer Spencer Stuard says the team knew they wanted to make a cat game. They drew on their experience designing games for Disney Interactive and their work with Jam City, which has released several viral mobile hits.
For the launch of Cat Sorter, Stuard and his team focused on keeping the mechanics simple to understand and easy to learn. They experimented with many features, discarding things like a weight machine and a meowing pot because they were too complicated or didn’t resonate with playtesters.
The game has been designed specifically for the Vive, with a design that allows for room-scale gameplay. The company is open to porting the game to other headsets, but several technical considerations must be addressed.
It is a room-scale Catos VR experience.
Room-scale VR is a virtual reality experience that allows users to walk through and interact with the virtual environment. It is a more realistic experience than passive 360-degree videos and seated VR, which restrict user movement to a small area.
Room-scale VR is also important for enterprise applications. It can help employees train and perform tasks in a safe and immersive environment. For example, workers can use virtual tools to test and improve physical equipment. It can also help supervisors understand how workers react to various situations, enabling them to make better decisions.
VR headsets have internal sensors that track a user’s movements. They can detect rotational head movement and translational movements to adjust the virtual world accordingly. The HTC Vive and Oculus Rift also have external sensors that can track the surrounding space to simulate realistic environments. Whether dodging bullets or swimming through an abandoned ship, room-scale VR makes it feel more accurate than a seated virtual experience. This is because it allows you to move around and see new perspectives. It’s the best way to immerse yourself in a game to feel like you are there.
Most VR headsets offer seated or standing modes, but some offer both. This allows players to sit down and relax or stand up and be more active. Most VR games are built with this in mind, so most have motion controls that allow you to move your character and change menus or interact with on-screen elements. If you can play while sitting, it’s worth checking if the game supports this before buying.
Some VR headsets support 6DoF (depth of field) tracking. They can sense how much of an object you are looking at and what direction you’re pointing. This tracking is essential for room-scale VR experiences. This is because room-scale VR requires you to be able to move around to have a fully immersive experience. It also helps make the virtual world more realistic by allowing users to move and interact with the VR environment.
Inside-out tracking flips the script on traditional head-tracking methods, which use cameras to track a headset’s position in 3D space. In this method, the headset is the camera, and the cameras are not connected to external tracking markers. Instead, sophisticated machine vision software uses the movement of reference points in the virtual environment to determine where the headset is.