The Memmo project( Memory of Motion) aims to develop a unified yet tractable approach to motion generation for complex robots with arms and legs. We are using our biped humanoid TALOS, owned by LAAS-CNRS and created by PAL Robotics for testing tasks like electrical drilling and/or fastening hand-held device, while climbing a set of stairs in Airbus experimental production line.
A technology for generating complex movements for arbitrary robots with arms and legs interacting in a dynamic environment in real-time would certainly revolutionize the motion capabilities of robots and unlock a wide range of very concrete industrial and service applications: robots would be able to react in real-time to any change of the environment or unexpected disturbance during locomotion or manipulation tasks. However, the computation of complex movements for robots with arms and legs in multi-contact scenarios in unstructured environments is not realistically amenable to real-time with current computational capabilities and numerical algorithms.
