Adaptive Modular Architectures for Rich Motor Skills

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
 Crawling iCub

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.

Download the AMARSi fact sheet in A4 or the A1 AMARSi poster in portrait and landscape format.