# contact-rich manipulation

Published articles for contact-rich manipulation.

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## Amazon and University of Michigan give robots a sense of touch

DevFeed: [Amazon and University of Michigan give robots a sense of touch](<https://devfeed.tech/articles/amazon-and-university-of-michigan-give-robots-a-sense-of-touch-7593.md>)

Original publisher: [Read original article](<https://www.amazon.science/blog/amazon-and-university-of-michigan-give-robots-a-sense-of-touch>)

Author: Mani Nambi; Nima Fazeli

Published: 2026-07-10T17:13:31Z

Content type: article

Language: en

Sources: [Amazon Science homepage](<https://devfeed.tech/sources/amazon-science-homepage.md>)

Topics: [contact-rich manipulation](<https://devfeed.tech/topics/contact-rich-manipulation.md>)

Tags: [amazon](<https://devfeed.tech/tags/amazon.md>), [amazon-robotics-research](<https://devfeed.tech/tags/amazon-robotics-research.md>), [contact-rich-manipulation](<https://devfeed.tech/tags/contact-rich-manipulation.md>), [dataset-development](<https://devfeed.tech/tags/dataset-development.md>), [dexterous-robot-manipulation](<https://devfeed.tech/tags/dexterous-robot-manipulation.md>), [gelsight-mini-sensor](<https://devfeed.tech/tags/gelsight-mini-sensor.md>), [hydroelastic-contact-model](<https://devfeed.tech/tags/hydroelastic-contact-model.md>), [hydroshear-simulator](<https://devfeed.tech/tags/hydroshear-simulator.md>), [physics](<https://devfeed.tech/tags/physics.md>), [reinforcement-learning](<https://devfeed.tech/tags/reinforcement-learning.md>), [reinforcement-learning-robotics](<https://devfeed.tech/tags/reinforcement-learning-robotics.md>), [robot-grasping-simulation](<https://devfeed.tech/tags/robot-grasping-simulation.md>), [robot-sense-of-touch](<https://devfeed.tech/tags/robot-sense-of-touch.md>), [robotic-manipulation](<https://devfeed.tech/tags/robotic-manipulation.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [robots](<https://devfeed.tech/tags/robots.md>), [sim-to-real-transfer-robotics](<https://devfeed.tech/tags/sim-to-real-transfer-robotics.md>), [training](<https://devfeed.tech/tags/training.md>)

### AI overview

HydroShear is a physics-based tactile-force simulator that trains robots for dexterous, contact-rich manipulation in simulation and transfers the resulting policies to real-world tasks.

### Source excerpt

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.