Meet the Allegro Hand: a robotic hand with anthropomorphic design that can handle a wide variety of objects. It comes with 4 fingers and 16 independent torque-controlled joints. The Allegro Hand is capable of holding up to 5kg of weight.
Here is another kit that lets you build a robot car with a Raspberry Pi. The OSOYOO Robotic Car is designed for Pi 4, 3B+, and 3B models. It comes with everything you need to learn electronics, Python coding, and Internet of Things. This Pi Car can avoid obstacles, follow lines, and transmit live video.
There are plenty of fancy drones on the market but most can’t stay in the air for hours. The HYBRiX 2.1 is a hybrid drone with long endurance that has recently achieved a flight time of 10 hours 14 minutes on a full tank of 16 liters.
Meet the Emo: a gorgeous desktop robot that can understand its surroundings, navigate your desktop without falling off, and serve as your voice assistant. The Emo has a HD camera with face recognition, a 4-microphone array, a touch sensor on its head, and an advanced neutral network processor with 3 AI models.
There is no better way to learn about robots and coding than building and programming your own robots. The Freenove 3-Wheeled Smart Car is a Raspberry Pi robot kit with app control. It is compatible with Pi 4B/3B+/3B and other models.
Here is another robot kit made to teach kids basics of coding. The Cubroid Coding Block comes with visual programming. It can be controlled from your favorite smartphone or tablet. This set has blocks that can be connected to build all kinds of robots. The DC motor block offers 360-degree rotation. Kids also get sound, LED, proximity sensor, and touch blocks.
In the past few years, we have covered plenty of teleoperated robots that can take on a variety of challenging tasks. This video from Robotic Systems Lab shows how a Menzi Muck M545 can be teleoperated to clean up a rock slide in central Switzerland.
In the past few months, we have covered plenty of projecting involving ANYmal. The latest video from Robotic Systems Lab shows how this robot can be taught to manipulate a ball with its legs while on its back. As they explain:
We employ a model-free reinforcement learning approach to train a deep policy that enables the robot to balance and manipulate a light-weight ball robustly using its limbs without any contact measurement sensor. The policy is trained in the simulation, in which we randomize many physical properties with additive noise and inject random disturbance force during manipulation, and achieves zero-shot deployment on the real robot without any adjustment.
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We have already covered robots that can help with hair restoration procedures. Team SAHARRA’s robot is also worth a look. It is a semi-autonomous robot that can helps with hair removal. Their robot uses a navigation system to determine the exact areas to be treated with an LBR Med robot.
The Raspberry Pi is wonderful for DIY electronics. The PiCar-X is a robot kit based on this platform. It comes with various functions, including real-time video, face/color detection, line tracking, and automatic obstacle avoidance. The robot can be programmed with Blockly and Python.
