Researchers at the Max Planck Institute for Intelligent Systems (MPI) in Germany have created a robotic puppy that learns to navigate through complex terrain by itself.
The researchers have successfully trained a robot to navigate a three-dimensional (3D) landscape and a virtual world.
The robot, named Kuka, was designed to train on a terrain that consists of a variety of shapes and sizes.
The team used a digital terrain modeling tool called V-Tector to create a 3D environment for the puppy to explore.
They also created a virtual environment that Kuka could interact with.
Kuka can be trained to navigate by itself, and it can also be programmed to navigate in conjunction with other robots.
Kuka has a wide variety of different skills and behaviors, from learning to open and close doors, to learning to walk, to navigating around obstacles and moving around on a road.
The puppy can also learn to pick up objects, pick up and put down objects, and move about in the environment.
The researchers created a model that allows the puppy, which has a small body and is only a few centimeters tall, to navigate on the terrain.
It can also use its vision to find objects, walk on roads, and even take turns walking on the road.
The team developed a way for Kuka to interact with the environment, so it can interact with other objects, like robots, and also learn from the environment by using its vision.
The virtual environment is also designed to support other tasks such as navigation and finding food.
Kukas vision is also enhanced by using a “deep learning” algorithm, a computer program that allows it to learn new information from the data it receives from the surrounding environment.
In addition to this, the researchers have also developed a computer model of the puppy’s behavior that can help it learn how to perform tasks, like navigating.
This model can also tell the team when it has learned the right commands, like to walk forward or backward, to find food, and to avoid obstacles.
The Kuka team is still working to improve its learning ability and to refine its vision and ability to learn.
It will be able to explore the world and interact with it with the help of computers and other robots that have similar capabilities.
The study is published in the journal Robotics.