
Ultrasound offers a scalable path to tactile intelligence for physical AI
UltraSense claims that ultrasound can mitigate the wear and tear at the point of tactile sensing. Source: UltraSense Physical AI is moving from digital reasoning into real-world interaction. Robots can see, plan, navigate, and move with sophistication. Yet manipulation depends on reliable touch, creating an opportunity for ultrasound. The question is no longer whether robots need tactile sensing. For humanoid hands, dexterous grippers, logistics robots, service robots, and industrial systems, to
Physical AI systems like robots need reliable touch sensing to manipulate objects effectively, but existing electronic skin technologies that place sensing layers on or near contact surfaces suffer from wear, delamination, and signal drift over millions of contact cycles. Ultrasound offers an alternative approach by placing acoustic sensors below the outer surface, allowing the top layer to optimize for friction and durability while sensing deformation through acoustic waves that propagate through the material stack. This sub-surface ultrasound method can measure multiple parameters including contact location, force distribution, shear, and material properties through time-of-flight, reflection amplitude, and frequency response, rather than relying on a single electrical effect. By protecting the sensing element from direct abrasion and environmental damage, ultrasound-based tactile systems can maintain signal integrity and accuracy over extended periods of robotic operation.
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Can AI agents program industrial robots without training data? Berkeley says yes
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Boston Dynamics adds wheels to Atlas humanoid to test whole-body control
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Practice Makes Precise: At CoRL, NVIDIA and Partners Reveal How Robots Rehearse Delicate Work in Simulation
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Memories.ai builds standardized egocentric video pipeline
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