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Discover how reinforcement learning is transforming quadruped robots like Spot into agile, adaptable tools for real-world applications.

A new study, published in Robot Learning, has focused on water analysis using a combination of decision-making and machine ...

The system uses a machine learning technique called attention-based map encoding, trained through reinforcement learning.

This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...

Machine learning plays a pivotal role in the development of autonomous vehicles and robots. In the realm of mechanical ...

Robotic arms have a lot in common with CNC machines in that they are usually driven by a fixed script of specific positions ...

A first-of-its-kind, soft, vest-like wearable designed by Harvard researchers could help stroke survivors and people living ...

Ava Zahedi looks back on how she used machine learning in MSR and how those experiences prepared her for her current work as a robotics and automation software engineer at Kasalis.

Machine learning Robot that watched surgery videos performs with skill of human doctor Breakthrough training system utilizing imitation learning opens 'new frontier' in medical robotics Jill Rosen / ...

From Apptronik to Saronic, here are Fast Company's Most Innovative Companies in robotics and engineering for 2025.