---
title: "A neural blueprint for human-like intelligence in soft robots"
url: https://daily.dev/posts/a-neural-blueprint-for-human-like-intelligence-in-soft-robots-7efw2mkgi
source_url: https://news.mit.edu/2026/neural-blueprint-human-intelligence-in-soft-robots-0219
type: article
source: "MIT News"
published: 2026-02-19T18:05:28.370Z
updated: 2026-02-19T19:20:05.377Z
tags: ["robotics", "reinforcement-learning"]
reading_time: 6
upvotes: 0
comments: 0
language: en
---

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# A neural blueprint for human-like intelligence in soft robots

**[MIT News](https://daily.dev/sources/mit)** · 6 min read · 0 upvotes · 0 comments

## Summary

Researchers from the Singapore-MIT Alliance for Research and Technology (SMART), NUS, MIT, and NTU Singapore have developed a brain-inspired AI control system for soft robotic arms that achieves three key capabilities simultaneously: transferring learned skills to new tasks, real-time adaptation to changing conditions, and guaranteed stability. The system uses two types of synapses — structural synapses trained offline on foundational movements, and plastic synapses that update online during operation. Tested on two physical platforms, it achieved 44–55% reduction in tracking error under heavy disturbances and over 92% shape accuracy despite payload changes, airflow disturbances, and actuator failures. The work, published in Science Advances, has potential applications in assistive robotics, rehabilitation, medical devices, and industrial automation.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://news.mit.edu/2026/neural-blueprint-human-intelligence-in-soft-robots-0219>

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Tags: [#robotics](https://daily.dev/tags/robotics), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning)

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