AI Robotics Transform Recycling Efficiency
Each year, more than 90 million tons of recyclable materials in the United States end up in landfills. A significant…
Leading Reinforcement Learning Platforms for Engineers in 2022
Reinforcement learning, a branch of machine learning, focuses on enabling agents to take actions that maximize cumulative rewards in specific…
Engineering Professors’ Gamification Profiles in Latin America
The rapid expansion of digital learning environments, accelerated by the COVID-19 pandemic, has prompted universities to explore innovative strategies to…
Machine Learning Maps China’s Environmental Policy Intensity
Between 1978 and 2019, China issued a vast array of environmental policies across multiple levels of government and ministries. To…
Enhancing Human-Cobot Collaboration Through Transparent Learning
Collaborative robots, or cobots, are increasingly deployed alongside human operators, performing assembly and manufacturing tasks in shared workspaces. Traditional methods…
Hybrid PAC Reinforcement Learning Boosts Human-Robot Interaction
Reinforcement learning (RL) for Markov decision processes (MDPs) has long been split between model-based and model-free approaches, each with distinct…
Nature-Inspired Design Drives Robotics Innovation
Bio-inspired robotics occupies a distinctive intersection between biology and engineering, transforming observations from the natural world into functional, human-made technologies….
Dean Yortsos Honored for Transforming Engineering Education
Thirteen years prior to receiving one of the nation’s most prestigious awards in engineering education, Yannis Yortsos, dean of the…
Photonic Reservoir Computing Accelerates Reinforcement Learning
Reinforcement learning traditionally relies on approximating the action-value function \(Q(\mathbf{s}_n, a_n)\) to guide decision-making. In this framework, an agent interacts…