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.

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

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; ...

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 ...

Meet Cassie, a humanoid robot that stands 3.2 feet tall, weighs 68 pounds, and has two legs designed to handle diverse terrains and dynamic movements.

Amazon today launched SageMaker Reinforcement Learning (RL) Kubeflow Components, a toolkit supporting the company’s AWS RoboMaker service for orchestrating robotics workflows. Amazon says that ...