Page 2: Research news on Embodied robotic manipulation

Embodied robotic manipulation investigates robotic and prosthetic limbs that physically interact with the environment using human-like, adaptive control. Work in this area integrates soft robotic structures, tendon-driven and biohybrid actuators, and exoskeletons with rich multimodal sensing, including vision, tactile, and proprioceptive feedback. Machine learning methods such as imitation learning, reinforcement learning, and meta-learning are used to acquire dexterous skills, enable shared and autonomous control, and support intuitive human–robot interaction through haptic interfaces, brain–computer interfaces, and teleoperation systems.

Engineering

Ease of use is key to exoskeleton adoption, engineers show

Wearable exoskeletons can help reduce physical strain in the workplace and protect employees from injury, but the technology has yet to achieve widespread adoption. A new study published in PLOS One by engineers at The University ...

Robotics

When will AI robots become part of everyday lives?

Many AI robots appear intelligent as long as they operate in controlled environments. Neuroscientist and robotics researcher Elisa Donati explains why robots with real-world readiness require more than just fast software.

Machine learning & AI

AI robots can go rogue: A researcher on how easily it happens

Earlier this year in Beijing, a humanoid robot crossed a half-marathon finish line in a blistering 50 minutes, 26 seconds. The feat immediately lit up global headlines for shattering the human world record by almost seven ...

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