48 This  work  aims  in  developing  and  investigating  the  dynamics  of  the brain    models    capable    of    predicting    cerebellar    input-output transformations;  analyzing  the  mathematical  and  computational properties  of  the  network.  Interfaces  and  mobile  robot  exploiting  the neuronal  network  to  the  problem  of  navigation  in  mobile  robots  equipped with  proprioceptive  sensory  system  will  be  developed  to  apply  the neuronal  model  and  achieve  1.)  Intelligent  Mobility:  Primarily  concerned with the development of sensors and control for mobile robots. 2.) Terrain Modeling  and  Characterization:  Investigate  their  abilities  to  model  terrain and  characterize  for  predicting  the  mobility.  3.)  Behavioral  &  Evolutionary Robotics:  modeling,  analyzing  and  designing  advanced  behavioral control  schemes  for  single  or  multiple  mobile  robotic  systems. All Terrain Intelligent Robot System This  robot  was  developed  to  test  to  bio-inspired  algorithms.  It  has  two sections.  The  main  section  moves  using  a  slider-crank  walking mechanism  docking  with  it  the  wheeled  section.  The  wheeled  section can  move  at  30kmph  and  be  controlled  remotely  by  the  walking  section. The  main  section  has  a  serial  robot  arm  for  pick  and  place  purpose,  an arm  to  cut/clear  any  vegetation  obstructing  its  path.  It  can  house  a  CCD camera  and  a  laptop  to  process  the  scene  ahead  for  navigation.  The camera  can  swivel  up  to  180o.  It  has  obstacle  sensing  devices  and  a metal  detector  too. CB. PR. 12 Autonomous Mobile Robots Based on Bioinspired Artificial Control- Indo-Italian Initiative PI:Dr  Shyam  Divakar  & Sanjivi  Arul * Sponsor:  DST  and  Ministry  of Science,  Italy Dept./Center:    Mechanical  Engg Start  Date:  March  2005 CB.PR.11.  Video Conferencing Software PI:Dr  K.P.  Soman Sponsor:  ISRO Dept./Center:  CEN Start  Date:  September  2004 The  objective  of  the  project  is  to  design,  develop  and  customize  a  Video Conferencing  Software  that  will  be  used  for  Telemedicine  and  Tele- education.  This  will  help  provide  a  solution  for  providing   improved  health care  and  quality  education  to  a  large  population  presently  living  in  remote areas.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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