LittleDog is a quadruped robot designed for research on learning locomotion.LittleDog is used at MIT, Stanford, Carnegie Mellon, USC, Univ. Pennsylvania and IHMC as part of a DARPA-funded program on advanced robotics.LittleDog uses machine learning techniques to create autonomous control software,with the help of this software it can traverse unknown rugged and complex terrains.It is about 30cm long and 20cm high, with three degrees of freedom per leg.
LittleDog has four legs, each powered by three electric motors. The legs have a large range of motion. The robot is strong enough for climbing and dynamic locomotion gaits. The onboard PC-level computer does sensing, actuator control and communications. LittleDog's sensors measure joint angles, motor currents, body orientation and foot/ground contact. Control programs access the robot through the Boston Dynamics Robot API. Onboard lithium polymer batteries allow for 30 minutes of continuous operation without recharging. Wireless communications and data logging support remote operation and data analysis. LittleDog development is funded by the DARPA Information Processing Technology Office.
Source : Boustendynamics,Computation Learning and Motor Controlling Lab
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