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

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 / ...

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

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 ...

Artificial intelligence and robotics are advancing at a pace that feels almost unstoppable. In 2024, breakthroughs in machine ...

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

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

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

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.

How Machine Learning Improves Robot Safety One of the most promising strategies to improve safety in robot design is to integrate machine learning.

Seeing the Power of Machine Learning Hang Yin’s high school experience opened his eyes to the future of robotics that he now is helping to mold.

One the many opportunities Pieter Abbeel of covariant.ai identified in 2018 was to figure out how to apply machine learning to robots designed for relatively easy two-second tasks.