Articles for Virtual Reality
Powered by Raspberry Pi 4B 4GB, uHandPi is an AI smart vision robotic hand. Loaded with an HD camera, it can realize color recognition, face detection, and other functions through OpenCV. Apart from image processing, uHandPi can carry out machine learning and train various models with the help of Tensorflow+Keras. Furthermore, for a better user experience, uHandPi is equipped with a mobile APP! More info
A wireless glove is a somatosensory glove in hand size. It is compatible with the Arduino development environment and includes a built-in lithium battery, Bluetooth 4.0, and a gyroscope acceleration sensor. As signal transmitters of robots, it will redefine various robot games. And the dazzling LEDs make the operation at night even cooler! More info
Depth ToF Camera for Visual Obstacle Avoidance
Function: To obtain RGBD information, with a powerful computing platform, can complete visual SLAM, obstacle avoidance, and tray docking functions without external CPU resources and directly output relevant coordinate information to motion control. More info
Neeuro SenzeBand 2 is a lightweight non-invasive, portable EEG device that can measure your brain waves and physiological states such as heart rate and oxygen level in real-time. The Neeuro SenzeBand 2 consists of 7 EEG and PPG sensors designed to fit all head sizes and shapes. In addition, with Neeuro’s machine learning algorithms, you will gain insights into mental attention, mental workload, and relaxation. More info
There are two modes of Hushme: normal headset mode and passive voice muffing mode. Hushme connects to the smartphone via Bt in the normal headset mode, and you can use it as a hands-free headset while speaking on the phone or listening to music. On the other hand, in the passive voice muffling mode, Hushme is locked over the mouth. More info
As time goes by, we will be seeing highly intelligent Humanoid Robots and Autonomous Machines filling public service positions throughout the world, operating under rules to keep humans safe, and in the future, be taught to protect and even save lives, improving our overall quality of life, or maybe not, because it all depends how we program them. Despite limited resources, including semiconductors, AI, and financial difficulties, our limitless desire for robotics will force us to investigate the possibilities of designing human-like robots for all areas, from farming to service industries, medical, health and research, education, entertainment, and combat. With the help of robots and creative minds, we will discover more as we move forward.
With open-source codes developed by human programmers or robots, you can teach your robot higher-level tasks, including anything from karate to doing the dishes to teaching it how to sing or dance. Wi-Fi will also affect their remote access; firewalls and antivirus apps will be available to protect your precious robot from unwanted remote breaches.
Today’s only challenge with advanced Humanoid Robotics is determining how strongly we can design them for pre-recorded or instant responses. Can they fully decode human speech and surrounding sounds with their voice recognition, regardless of all accents, to understand human perception and cognition? Maybe not yet. How can we help them to understand anger or calmness? A physical punch on a robot or the stress level in our voice and body language, for example, has to be translated into a form for them to recognize with codes and sensors. Robots are currently and will in the future be taught to protect and even save lives, improving our overall quality of life. They will be walking on the ground, swimming in the oceans, and flying with a combination of available drones. It is a phenomenon, an important one, not to miss out on.