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This article details HydroShear, a new physics-based simulator that accurately models tactile shear forces to enable robots to learn dexterous manipulation skills in simulation before transferring them directly to the real world. By overcoming the traditional trade-off between computational speed and force accuracy, this advancement addresses a critical bottleneck for deploying contact-intensive robotic systems in industrial and surgical settings.
Amazon and University of Michigan give robots a sense of touch

HydroShear, a new physics-based simulator, teaches robots how to use their sense of touch to perform complex manipulation tasks, in a way that transfers seamlessly to the real world.
From warehouse automation to surgical assistance, many real-world applications depend on robots performing delicate, contact-intensive tasks. Often missing in these situations is the sense of touch: robots need to feel the forces on their fingertips to manipulate objects effectively. Despite years of effort, robust and scalable solutions to this problem remain out of reach, especially in industrial settings. One approach has been to use vision-based tactile sensors, in which cameras embedded in soft fingertips capture contact geometry. Researchers have used this approach to estimate object shape and pose, but computing the forces that correlate most with manipulation capabilities remains a…
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