In a groundbreaking new study, researchers have developed an electronic skin that allows humanoid robots to distinguish ...

A newly developed AI control system using neuron-inspired learning enables soft robotic arms to learn a broad set of motions ...

Mechanical engineers at Duke University have developed solid building blocks whose mechanical properties can ...

R2-D2, C-3PO, WALL-E, BB-8, Marvin, Roz and Baymax. They're emotional, prone to panic or bossy, empathetic and able to ...

The mechatronics program is one of more than 30 programs area students will have the opportunity to explore during the Kent ...

A hands-on, integrated approach has the potential to transform math from a gatekeeper into a gateway for STEM opportunities for all students.

Over the next decades, robots are expected to make their way into a growing number of households, public spaces, and ...

Abstract: Deep Reinforcement Learning (DRL) approaches with Attention Mechanism have shown efficiency and effectiveness for combinatorial optimization problem, such as routing problem for autonomous ...

Abstract: Whole-body loco-manipulation for quadruped robots with arms remains a challenging problem, particularly in achieving multi-task control. To address this, we propose MLM, a reinforcement ...

Students in Manatee County got a hands-on chance to operate a surgical robot that's used to perform surgeries and save lives at Manatee Memorial Hospital. FOX 13's Kimberly Kuizon reports. Wine, water ...

A quadruped robot has learned to walk across slippery, uneven terrain entirely through simulation, without any human-designed gaits or manual tuning. The system relies on deep reinforcement learning ...

According to Wenlong Huang (@wenlong_huang) on Twitter, the newly introduced PointWorld-1B is a large pre-trained 3D world model developed in collaboration with Stanford and NVIDIA. This AI system ...