Here is another AI robot with Raspberry Pi for more advanced coding projects. The XiaoR Geek RPi Robot is powered by a Pi 4B board. It comes with a 1080p HD camera, Rplidar A1 radar and 3.5″ touchscreen display. It comes with SLAM navigation for autonomous movement.
Remember Digit from Agility Robotics? It can take on wet, muddy hills, avoid obstacles dynamically, and even deliver packages. The OSU Dynamic Robotics Laboratory’s research team has used machine learning tools to train the robot to run a full 5K on a single battery charge. The below video shows it in action:
Drones are already fun to fly on their own. With a Nerf gun, you can have even more fun with your kids. Cory’s project on Hackaday shows what it takes to build a Nerf drone. He used a Shendrones Squirt V2 for this project. Some of the parts were 3D printed. The motors are controlled with an Arduino Nano. The below video shows it in action:
Meet the Ximpatico Nabot AI Robot: a coding robot with an arm to grab and manipulate objects. It is ready for drag & drop programming but also has a Python SDK. This smart robot can be programmed to follow you, grab objects, play with your pets, and a whole lot more. It processes images from its camera using a neural network.
Meet the RE2 Sapien 6M Robotic Arm: a 6DOF robot arm with integrated intelligence that can manipulate objects in structured and unstructured environments. It has a horizontal reach 1282mm with max payload capacity of 50kg. This robot arm comes with torque sensing at each joint. It has a rugged outer shell for harsh environments.
Meet the Wolfgang-OP: a humanoid robot platform for RoboCup and other similar competitions. It can survive falls and automatically recover. It comes with an Intel NUC, Odroid XU4 and a Basler acA2040-35gc camera. It also has put pressure sensors.
Meet the Glocal Robotics THALAMUS: an autonomous security robot that can negotiate uneven terrain and patrol secure sites. It comes with two artificial intelligence modules to get the job done. Weighing 250kg, this robot stands 2.3m tall and has a top speed of 30km/h.
Robots are going to do many things for us in the future, including preparing our food. Before giving robots a knife, they need to be taught how to use a knife with proper amount of force to cut through fruits and vegetables. Robotics researchers from NVIDIA and University of Southern California have come up with DiSECt, which is a simulation engine for autonomous robot cutting. As NVIDIA explains:
Deformable objects are simulated via the Finite Element Method (FEM). To simulate crack propagation and damage, we insert springs between the cut elements of the mesh which are weakened as the knife exerts contact forces
The below video shows how it works:
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