Motor skills of humans and animals are still utterly astonishing when compared to robots. AMARSi aims at a qualitative jump in robotic motor skills towards biological richness.

AMARSi focuses on compliant mechanics morphological computation human and robotic motor control: comparison damage-robust, safe, fast and flexible motion learning (unsupervised, reinforcement and imitation learning) dynamical neural models unifying locomotion and manipulation

AMARSi' objective: the experimentation and demonstration of rich motor skills on the iCub humanoid robot and on the quadruped Cheetah.

Rich motor skills in robots will have a tremendous impact on our society. Dexterous and skillful motion in robots will make them more suitable for a large number of tasks. The compliant and natural movements will make them blend into everyday routines, safe and psychologically acceptable.