Robotic pets are machines with artificial intelligence designed to mimic an actual pet. The first robotic pets were not very sophisticated, but today’s models use machine learning to make them more realistic. Boston Dynamics’ Spot is one such example. While these dogs may not be able to fully interact with their human owner, they can still be useful for many purposes.
The BigDog robot dog is a dynamically stable quadruped military robot that was originally developed by Boston Dynamics in 2005. The company partnered with Foster-Miller, the NASA Jet Propulsion Laboratory, and the Concord Field Station at Harvard University. The project was funded by DARPA. The original BigDog was deemed to be too noisy for combat and was unable to be used for combat.
The BigDog control system adapts to changing terrain and ground conditions. It uses information from its joint sensors to determine the position and force of each foot contact with the ground. The system then coordinates the kinematics of the legs with reaction forces to achieve desired results. The kinematics of the legs are also optimized to compensate for uneven terrain. In addition, the control system allows the user to adjust the height and body roll of the robot dog.
The Xiaomi CyberDog is an interactive robot dog that is programmed to respond to a voice command. Users can activate the device with an activation word similar to “Ok Google.” Developers can also customize the CyberDog’s features. It features HDMI and USB Type-C ports and can add screens, lights, cameras, and LiDAR technology.
The CyberDog is not a commercial product, but it is a cheap way to learn about robotics and programming. It may also be used as a security dog in supermarkets. Other possible applications for the CyberDog include scientific research and rescue missions. It also uses open source technology, so it can be customized to meet specific requirements.
Ghost Robotics’ Vision 60
Ghost Robotics’ Vision 60 is a mid-sized, high-end unmanned ground drone that is designed for a variety of applications. It can be used in both autonomous and tele-op modes and is highly mobile and able to traverse all terrains. This quadruped robot has a range of over three miles and can travel at speeds of up to 3 meters per second. The Vision 60 can also be configured to operate in infrared or thermal imaging mode.
The UK Ministry of Defence has confirmed that it has ordered two Vision 60 quadruped robots from Ghost Robotics. The robots have a weight of 32 kg and feature 18 degrees of freedom in the legs. The Vision 60 is designed for tele-operation missions in rough terrain. The company has named the two machines Togo and Balto. They are gray and silver in color and have similar features.
Boston Dynamics’ Spot
The Boston Dynamics Spot robot dog is an example of a military robot that is dynamically stable and has a four-legged base. It was created in 2005 and developed by Boston Dynamics in collaboration with Harvard University, the Jet Propulsion Laboratory, and Foster-Miller. It was originally funded by DARPA but was not used for combat. The company then decided that the dog would not be able to handle combat and it was scrapped.
Boston Dynamics is pursuing other applications for Spot, and the company is already selling the basic robot. It can also be upgraded with various add-ons, including a robotic arm, which could perform manipulation tasks. The robot could also be used in industrial settings, to inspect pipes and to read visual gauges. Some teams are already using Spot for remote missions, such as those in mines and nuclear facilities.
Open-source project by Xiaomi
The CyberDog is a robotic dog created by Xiaomi. Xiaomi has released an open-source design and hopes that robotics enthusiasts will write code for the robot to make it more useful. The company hopes that by releasing the robot to the public, it will gain exposure for the open-source project and establish itself as a major player in robotics.
The CyberDog is powered by the Jetson Xavier NX platform, an artificial intelligence supercomputer from NVIDIA. It contains 384 CUDA cores and 48 Tensor Cores. It also contains 6 Carmel ARM CPUs and two deep learning acceleration engines.