Memmo aims to "revolutionize" the way robots move in complex environment by developing new methods
1) relying on massive off-line caching of pre-computed optimal motions that are
2) recovered and adapted online to new situations with real-time tractable model predictive control and where
3) all available sensor modalities are exploited for feedback control going beyond the mere state of the robot for more robust behaviors. Memmo will develop a unified yet tractable approach to motion generation for complex robots with arms and legs.
The project will develop 3 industrial demonstrators for the future of aircraft manufacturing, rehabilitation of paraplegic patients and inspection of large engineering structures.
Memmo started at the beginning of this year and involves besides our institute LAAS-CNRS (France), IDIAP (Swiss), Univ. Edinburgh (UK), Univ. Oxford (UK), PAL-Robotics (Spain), Wandercraft (France), Airbus (France), Costain (UK) and APAJH (France).