Compute most efficient hovering capabilities for drones with arbitrary configuration

Compute most efficient hovering capabilities for drones with arbitrary configuration

Quadcopter dynamics simulation with two proportional–integral–derivative (PID) controllers that adjust the motor speeds of the quadcopter and enable control of position and orientation.

Framework for the Learning Machines Course at VU Amsterdam

A python library for optimization, geared towards modular robots and evolutionary computing.

A python library for optimization, geared towards modular robots and evolutionary computing.

Framework for Learning Machines Course

Repository replicating the design- and behaviour-adaptation algorithm using reinforcement learning algorithm presented in the paper " Data-efficient Co-Adaptation of Morphology and Behaviour with D…

The RealAnt Auxiliary contains additioning documentation, improved designs and some simple walk gait code for the RealAnt designed by Ote Robotics at Aalto University