At the Conference on Robot Learning (CoRL 2025) held at Seoul’s COEX convention center on September 28, Rainbow Robotics and ...
Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...
AI models are filling in the blanks in advanced industrial control and robots. But people working on these systems are also ...
Reinforcement learning (RL) is transforming the way robots interact with the world. Unlike traditional programming or supervised learning, which depend on pre-defined ...
Engineers at the Korea Advanced Institute of Science and Technology have developed a way for robots to precisely grasp ...
A team has shown that reinforcement learning -i.e., a neural network that learns the best action to perform at each moment based on a series of rewards- allows autonomous vehicles and underwater ...
Over the past two decades, humanoid robots have greatly improved their ability to perform functions like grasping objects and using computer vision to detect things since Honda’s release of the ASIMO ...