Predicting when and how collections of particles, robots, or animals become orderly remains a challenge across science and engineering. In the 19th century, scientists and engineers developed the discipline of statistical mechanics, which predicts how groups of simple particles transition between order and disorder, as when a collection of randomly colliding atoms freezes to form a…
Georgia Tech SlothBot goes slow to save energy for environmental monitoring
SlothBot, a project shown at ICRA by Georgia Institute of Technology researchers, is designed to conserve energy and could be useful for environmental monitoring, infrastructure maintenance, and other long-term applications.
Ultra-low power hybrid chips make small robots smarter
Keynotes | Agenda | Speakers | Exhibitors | Register An ultra-low power hybrid chip inspired by the brain could help give palm-sized robots the ability to collaborate and learn from their experiences. Combined with new generations of low-power motors and sensors, the new application-specific integrated circuit (ASIC) – which operates on milliwatts of power –…