An artificial intelligence robot has discovered a completely new reaction pathway in a chemical process that chemists have relied on for over 130 years, revealing that even well-established reactions may harbor undiscovered possibilities. The breakthrough came from Robowski, an autonomous AI robot platform developed by researchers at South Korea's Institute for Basic Science (IBS), which can perform and analyze up to 1,000 chemical experiments per day.

What Makes This Discovery Significant for Chemistry?

The Biginelli reaction, first discovered in 1891 by Italian chemist Pietro Biginelli, is a foundational chemical process used across pharmaceuticals, materials science, and green organic synthesis. It works by combining three ingredients,an aldehyde, a beta-ketoester, and urea,in a single step to create dihydropyrimidinone (DHP) derivatives. For over a century, chemists believed they understood this reaction completely. Robowski proved otherwise.

The AI robot discovered a reaction pathway that produces a completely new molecular structure, one that would have been nearly impossible for humans to predict using conventional chemistry knowledge. By analyzing the mechanism with computer algorithms, researchers found that seven molecules break apart and reassemble during the reaction process to generate a complex structure. This finding was published in July 2026 in the journal Nature Synthesis.

How Does the AI Robot Actually Work?

Robowski, developed in 2025 by the team led by Bartosz Grzybowski at IBS's Center for Artificial Intelligence and Robotics in Chemical Synthesis, operates with a level of autonomy that would astound traditional chemists. The robot performs the entire sequence of laboratory work independently, from combining solutions and washing equipment to analyzing the resulting substances. What sets Robowski apart is its ability to use AI algorithms to independently determine the direction of experiments, rather than simply following human instructions.

• Experimental Capacity: Robowski can conduct approximately 1,000 experiments per day, a pace that would require a team of human chemists months or years to achieve
• Autonomous Decision-Making: The robot uses AI algorithms to decide which experiments to run next, learning from results and adapting its approach without human intervention
• Complete Lab Integration: Robowski handles every step from solution preparation through equipment cleaning to final substance analysis, eliminating bottlenecks in the experimental workflow
• Structural Analysis: The robot uses X-ray crystallography and computer algorithms to determine molecular structures and understand reaction mechanisms

What Practical Applications Could This Enable?

The newly synthesized compounds discovered by Robowski exhibit remarkable properties that open doors to real-world applications. The compounds selectively recognize and bind to specific metal ions, such as barium and zinc. Depending on their three-dimensional shapes, the molecules show a tendency to self-assemble either with molecules of the same shape or selectively with those of different shapes. These properties could be harnessed for developing metal ion sensors and functional materials that exploit molecular properties in ways previously unavailable.

The research team followed up Robowski's discoveries with a process they named "ex roboto," which involved manual experiments to optimize reaction conditions and verify whether the reaction could be applied while varying the starting materials. Through this hybrid human-AI approach, they succeeded in producing a variety of compounds with structures as complex as some naturally occurring products, using only two synthetic steps.

"This study shows that even well-known classical chemical reactions may still harbor undiscovered reactivity. Exploring reaction pathways using robots and AI can expand chemical automation from a mere tool for speeding up experiments into a platform for discovering new and useful chemical reactions," said Bartosz Grzybowski, director of the Center for Artificial Intelligence and Robotics in Chemical Synthesis at IBS.

Bartosz Grzybowski, Director of the Center for Artificial Intelligence and Robotics in Chemical Synthesis at the Institute for Basic Science

Why Does This Matter Beyond the Lab?

This discovery represents a fundamental shift in how chemistry research can be conducted. For decades, chemists have assumed that classical reactions discovered in the 1800s and 1900s had been thoroughly explored. Robowski's findings challenge that assumption and suggest that countless other established reactions might contain hidden pathways waiting to be discovered. The implications extend far beyond academic curiosity.

The hybrid approach combining AI robot experimentation with human verification and optimization demonstrates a new model for chemical research. Rather than replacing human chemists, Robowski augments their capabilities by rapidly exploring vast experimental spaces that would be impractical for humans to investigate manually. This allows researchers to focus their expertise on understanding and optimizing the most promising discoveries, rather than spending months on routine experimentation.

As materials science increasingly relies on discovering novel compounds with specific properties, the ability to rapidly uncover new reaction pathways becomes a competitive advantage. Industries ranging from pharmaceuticals to electronics to energy storage depend on finding materials with precisely tailored characteristics. AI-driven discovery platforms like Robowski could accelerate the development timeline from years to months, potentially bringing new technologies to market faster and at lower cost.

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