Reach and Grasp for an Anthropomorphic Robotic System based on Sensorimotor Learning

@article{Eskiizmirliler2006ReachAG,
  title={Reach and Grasp for an Anthropomorphic Robotic System based on Sensorimotor Learning},
  author={Selim Eskiizmirliler and M. R. Maier and Loredana Zollo and Luigi Manfredi and Giancarlo Teti and Cecilia Laschi},
  journal={The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006.},
  year={2006},
  pages={708-713}
}
In this article, we present a neurobiologically inspired multinetwork architecture based on knowledge of cortico-cortical connectivity and its application on an anthropomorphic head-arm-hand robotic system to provide reach-and-grasp kinematics based on multimodal sensorimotor learning. The system incorporates artificial neural network modules (matching… CONTINUE READING