The robot is based on a two-wheeled design with tank-style steering. Controlled by an Arduino Uno, the robot uses a Slamtec RPLIDAR sensor to help map out its surroundings.

Algorithms such as decision trees, neural networks, or reinforcement learning can be used to build the model. The trained model is then deployed into the robot, which starts interacting with students.

War of the Robots: Easy-to-Use Arduino-Based Robotics Kit For All / Artificial Intelligence / Robot Sumo / Sumo Robot / Sumo Boy Updated 2.29.16, 10:45 AM EST by Joi Matthew ...

Reinforcement learning techniques could be the keys to integrating robots — who use machine learning to output more than words — into the real world.

Artificial intelligence has one major flaw, you have to reprogram it when a mistake has been made. Deep reinforcement learning could change all of that. See how.

His current interest is reinforcement learning on a tiny scale. He came down to the 2023 Hackaday Supercon to tell us all about his work. Continue reading “Supercon 2023: Teaching Robots How To ...

Tesla is ramping up hiring for its humanoid robot program, Optimus, including some reinforcement learning engineers. It was hard to take Tesla Bot seriously when Elon Musk announced it by having ...

NVIDIA's new AI model trains robots to move like LeBron and Ronaldo Meta's $33 billion loser now looks like a winner Casetify were a little too inspired by Dbrand's X-ray skins and now it's ...

A team has shown that reinforcement learning -i.e., ... Dynamic robotic tracking of underwater targets using reinforcement learning. Science Robotics, 2023; 8 (80) DOI: 10.1126/scirobotics.ade7811; ...