Tech Xplore on MSN

AI system learns to prevent warehouse robot traffic jams, boosting throughput 25%

Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a ...
EurekAlert!

Deep-reinforcement-learning-based robot motion strategies for grabbing objects from human hands

Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...
The Desert Sun

Deep Learning Robotics (DLRob) Announces Pre-Launch of Zero-Teach and Teach-by-Demonstration Technology for Kitting Applications

CAESAREA, Israel, Feb. 12, 2026 / PRZen / Deep Learning Robotics (DLRob), a developer of vision-based robotic autonomy software, today announced the pre-launch of its Zero-Teach and ...
Science Daily

New dual-arm robot achieves bimanual tasks by learning from simulation

An innovative bimanual robot displays tactile sensitivity close to human-level dexterity using AI to inform its actions. An innovative bimanual robot displays tactile sensitivity close to human-level ...
Geeky Gadgets

Watch AI learn to walk using Deep Reinforcement Learning (DRL)

Deep Reinforcement Learning (DRL) is a subfield of machine learning that combines neural networks with reinforcement learning techniques to make decisions in complex environments. It has been applied ...
mccormick.northwestern.edu

Walking Wonder

Harrison Bounds (MSR ‘25) transformed his passion into motion with a custom-built hexapod project that coupled design ingenuity and advanced robotics. Many robotics students start their journeys by ...
Quanta Magazine

Why Do Humanoid Robots Still Struggle With the Small Stuff?

The last decade has seen vast improvements in humanoid robots, but graduating to widespread use might require going back to the fundamentals. “Not reliably,” Hurst said. “I don’t think it’s totally ...