Scientists create robots smaller than a grain of salt that can think

· Source: Artificial Intelligence News -- ScienceDaily · Field: Technology & Digital — Robotics & Autonomous Systems, Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Advanced, medium

Summary

Researchers from the University of Pennsylvania and the University of Michigan have developed the smallest fully programmable autonomous robots to date, measuring approximately 200 by 300 by 50 micrometers, smaller than a grain of salt. These light-powered microrobots can swim, sense their environment, make decisions, and operate for months, costing about one penny each to produce. Unlike previous microscopic machines, they achieve movement by generating electric fields to manipulate charged particles in liquid, rather than using moving parts, allowing them to overcome the dominant drag and viscosity forces at the microscale. The robots integrate microscopic computers, enabling them to follow programmed paths, detect temperature changes as small as 0.3°C, and communicate measurements through "dances," marking a significant advance in autonomous robotics.

Key takeaway

For AI scientists and engineers developing micro-scale systems, this breakthrough demonstrates that truly autonomous, programmable robots are now feasible at sub-millimeter scales. You should consider integrating ultra-low-power electronics and electric-field-based propulsion for future designs, as conventional mechanical approaches are ineffective. This opens new avenues for creating distributed sensor networks or micro-assemblers, requiring a re-evaluation of current design constraints and potential applications in bio-monitoring or advanced manufacturing.

Key insights

Autonomous microrobots, smaller than a salt grain, now sense, decide, and move using light-powered electric fields.

Principles

Method

Robots generate electric fields to push charged liquid particles, creating motion without moving parts. Specialized circuits reduce power consumption by >1000x, and software is condensed for tiny memory.

In practice

Topics

Best for: AI Scientist, AI Researcher, Robotics Engineer, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence News -- ScienceDaily.