The  insect  brain  is  a  very  efficient  neural  computing  system. 
It  can  process  high-dimensional  sensory  information  and  generate 
coordinated  and  adaptive  motor  commands  in  real  time, 
resulting in various complex behaviors (including locomotion, object 
manipulation,  navigation,  and  their  combination).  Simultaneously, 
it can also autonomously learn to solve complex tasks. This amazing 
control performance is achieved by using the full capacity of its neural 
dynamics, learning, memory, and plasticity as well as by interacting 
with the environment through its body (i.e., embodiment).

Inspired  by  this,  we  have  developed  brain-like  mechanisms. The mechanisms are based on a modular concept and hierarchically organized.  They  exploit  neural  dynamics,  learning,  memory,  and plasticity, as the biological brain does, to efficiently generate complex functions of embodied multi-sensorimotor robotic systems. Based on 
this development, we have addressed the way to achieve adaptive motor  control  and  autonomous  learning  principles  for  complex locomotion, object manipulation, goal-directed navigation, and their combination in the embodied systems.