Deep Reinforcement Learning Shapes Tokamak Plasma Control
At the Swiss Plasma Center, the Tokamak à Configuration Variable (TCV) serves as a highly adaptable research platform for exploring…
Mechanical Design & Robotics
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…
Mapping the Rise and Frontiers of Soft Robotics
Over the past decade, soft robotics has evolved from a niche curiosity into a robust interdisciplinary domain, attracting engineers, material…
ITRI Showcases Breakthrough AI and Robotics at CES 2022
At CES 2022, Taiwan’s Industrial Technology Research Institute (ITRI) presented a suite of advanced AI, robotics, and ICT technologies, underscoring…
SoccerSim Brings RoboCupJunior Soccer Online
For nearly a quarter century, RoboCup has pursued an ambitious goal: by 2050, a team of autonomous humanoid robots should…
Meta’s Soft Robotics Glove Brings Touch to VR
For seven years, Meta’s Reality Labs has been developing a haptic glove designed to replicate the sensation of touching and…
Predicting Biodegradable Soft Actuator Performance Under Degradation
Biodegradability offers a compelling pathway toward environmentally responsible robotics, particularly in soft robotic systems designed for deployment in natural environments….
Robots Learn to Co?Author Stories with Humans
Storytelling has long been a cornerstone of human culture, but the rise of social robots is opening new possibilities for…
Self-Supervised Learning for Reversible Robotics Actions
Reinforcement learning (RL) has become a cornerstone in training autonomous agents for domains ranging from robotics to chip layout optimization….