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Deep diveROBOTICS

Self-Reconfiguring Robot MorphBot Deep Dive: How 100 Modules Autonomously Transform Shape Based on Tasks

ETH Zurich's MorphBot system achieved autonomous morphological reconfiguration of 100 robot modules, capable of switching between snake, wheeled, and arm configurations based on task requirements.

On August 9, 2028, ETH Zurich published a paper in Science Robotics demonstrating the MorphBot self-reconfiguring system composed of 100 robot modules. Each module is a 3-centimeter cubic unit equipped with a processor, communication chip, magnetic docking connector, and drive wheels on all six faces.

MorphBot's core innovation lies in its distributed morphological planning algorithm. When an operator issues a task command (such as "pass through this narrow gap and retrieve the object on the other side"), the system automatically computes the optimal form — 100 modules may first assemble into a snake shape to pass through the gap, then reconfigure into a form with a grasping arm upon reaching the target area.

The paper's first author explained that MorphBot's form switching is driven entirely by local communication between modules. There is no central controller; each module exchanges information only with its six adjacent neighbors, achieving global morphological transformation through "emergence." This architecture gives the system exceptional fault tolerance — even if 10% of modules fail, the remaining modules can still complete reconfiguration.

ETH Zurich plans to collaborate with the Swiss National Robotics Center to apply MorphBot to post-disaster search and rescue and industrial pipeline inspection scenarios. Miniaturizing modules to the centimeter level is the next-phase target.