[AI]+[Progress]: MolBot Molecular Nanobot Programming Framework Achieves 0.01nm Single-Molecule Manipulation Precision

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The field of molecular nanorobotics has long faced a fundamental challenge: how to write control programs for mechanical structures a thousand times smaller than bacteria. The MolBot framework, released by MIT's Nanorobotics Lab in May 2030, provides the first standardized programming solution for this field.

MolBot is not a physical robot but a complete software stack comprising a molecular dynamics simulator, a motion planning algorithm library, and a real-time feedback control system. Researchers can define nanobot motion objectives through a Python interface, and the system automatically generates molecular-level execution instructions.

Project lead Pulkit Agrawal, professor of mechanical engineering at MIT, said: "In the past, researchers in nanorobotics had to design control logic from scratch for each new task. MolBot's goal is to make molecular manipulation as intuitive as writing a robot control program."

MolBot's technical architecture is divided into four layers. The bottom layer is the MolSim molecular dynamics simulation engine, based on a GPU-accelerated coarse-grained force field model, capable of simulating systems containing 1 million atoms in seconds. The second layer is the MotionLib motion planning library, with built-in algorithms for Brownian motion compensation, solvent effect correction, and thermal noise filtering. The third layer is the TaskAPI task abstraction layer, providing high-level interfaces for atomic operations such as grasping, transporting, assembling, and cutting. The top layer is the Sim2Real transfer module, responsible for migrating strategies from simulated environments to real physical environments.

In terms of precision, the MolBot team used a nanomechanical arm constructed with DNA origami as a test platform, completing single-molecule grasping and placement tasks under real-time observation by a scanning tunneling microscope. Test results showed positioning precision of 0.01 nanometers, equivalent to one-tenth the diameter of a carbon atom.

Don Ingber, director of Harvard's Wyss Institute, commented: "MolBot's significance lies not in any specific capability, but in transforming nanorobotics from a handicraft into an engineering discipline."

Currently, MolBot has been open-sourced on GitHub, supporting seamless integration with mainstream molecular dynamics software GROMACS and OpenMM. The team expects that by 2031, over 50 laboratories will adopt the framework for research in drug delivery, molecular assembly, and nanosensor development.