Visual servoing is a pivotal technique in robotics whereby real‐time image feedback is exploited to guide the motion of a robotic system. This approach enables robots to perform complex tasks such as ...

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 ...

Reinforcement learning (RL) is transforming the way robots interact with the world. Unlike traditional programming or supervised learning, which depend on pre-defined ...

ACM, the Association for Computing Machinery, today named Pieter Abbeel the recipient of the 2021 ACM Prize in Computing for contributions to robot learning, including learning from demonstrations and ...

At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on the ...

Recent advancements in table tennis robotics have transformed the landscape of automated play, bringing together cutting‐edge techniques in motion planning, control, and trajectory prediction. At its ...