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RESEARCH PROFILE

Professor Dr. Poramate Manoonpong

School of Information Science & Technology (IST)
Tel. +66 (0) 33 01 4301
Email poramate.m@vistec.ac.th

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Bio-Inspired Adaptive Motor Control and Autonomous Learning for Embodied Multi-Sensorimotor Robotic Systems

 

Research Overview

How can brain-like mechanisms be developed and realized on artificial systems so they can perform multiple complex functions as biological living systems? Addressing this fundamental question is one of the research goals of our Bio-inspired Robotics and neurAl engIneeriNg (BRAIN) laboratory. To achieve this, we employ a bio-inspired approach to develop brain-like mechanisms for adaptive motor control and autonomous learning of embodied multi-sensorimotor robotic systems (i.e., the robotic systems with many degrees of freedom that interact with the environment through their physical body). The developed mechanisms are adaptive and flexible, which can be transferred to application areas like human-machine interaction, brain-machine interface, and rehabilitation.

BIO-INSPIRED ADAPTIVE MOTOR CONTROL AND AUTONOMOUS LEARNING

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.

EMBODIED MULTI-SENSORIMOTOR 
ROBOTIC SYSTEMS

To validate the performance of the bio-inspired (brain-like) mechanisms, we employ different types of embodied multi-sensorimotor robotic systems (e.g., hexapod robot, humanoid robot, and robot arm) as our experimental platforms. They consist of different numbers of motors and different types of proprioceptive and exteroceptive sensors, allowing them to interact with complex environments and to perform various complex behaviors.

 

 

EMERGING TECHNOLOGY AND ITS TRANSFER

Due  to  adaptability,  modularity,  and  flexibility  of  the  bio-inspired  mechanisms,  they  have  been  transferred  to  not  only 
robotic but also medical domains, like orthosis control. Integrating the bio-inspired robotics research with neural engineering 
research leads to our emerging technology (called “BRAIN technology”) which can be transferred to real world applications 
in the areas of human-machine interaction, brain-machine interface, and rehabilitation.

 

Research Group Members:

Dr. Poramate Manoonpong (Professor)
Dr. Theerawit Wilaiprasitporn (Lecturer)
Mr. Binggwong Leung
Ms. Piraya Wetchasat
Mr. Phairot Autthasan
Mr. Payongkit Lakhan
Mr. Nattapol Trijakwanich
Mr. Naphat Ngoenriang
Mr. Chaicharn Akkawutvanich
 

International Research Collaborator:

Prof. John Hallam
University of Southern Denmark
Assistant Prof. Jørgen Christian Larsen
University of Southern Denmark
Prof. Stanislav N. Gorb
University of Kiel
Prof. Florentin Wörgötter
University of Göttingen
Dr. Christian Tetzlaff
University of Göttingen
Prof. Zhendong Dai
Nanjing University of Aeronautics and Astronautics