Google researchers, in collaboration with the Max Planck Institute of Neurobiology, have developed a neural network that maps neurons inside the brain more accurately than previous methods.

Imagine a natural disaster scenario, such as an earthquake, that inflicts widespread damage to buildings and structures, critical utilities and infrastructure, and threatens human safety. Having the ability to navigate the rubble and enter highly unstable areas could prove invaluable to saving lives or detecting additional hazards among the wreckage. Partnering rescue personnel with robots to evaluate high-risk scenarios and environments can help increase the likelihood of successful search and recovery efforts, or other critical tasks while minimizing the threat to human teams.

“Whether in a natural disaster scenario, a search and rescue mission, a hazardous environment, or other critical relief situation, robots have the potential to provide much needed aide and support,” said Dr. Ronald Polcawich, a DARPA program manager in the Microsystems Technology Office (MTO). “However, there are a number of environments that are inaccessible for larger robotic platforms. Smaller robotics systems could provide significant aide, but shrinking down these platforms requires significant advancement of the underlying technology.”

Technological advances in microelectromechanical systems (MEMS), additive manufacturing, piezoelectric actuators, and low-power sensors have allowed researchers to expand into the realm of micro-to-milli robotics. However, due to the technical obstacles experienced as the technology shrinks, these platforms lack the power, navigation, and control to accomplish complex tasks proficiently.