Conference Proceeding

An insect-inspired endgame targeting reflex for autonomous munitions

Orbital Res. Inc, Cleveland, OH
02/2001; DOI:10.1109/IROS.2001.977209 ISBN: 0-7803-6612-3 pp.1609 - 1615 vol.3 In proceeding of: Intelligent Robots and Systems, 2001. Proceedings. 2001 IEEE/RSJ International Conference on, Volume: 3
Source: IEEE Xplore

ABSTRACT A target-seeking system for autonomous munitions in the endgame
stage of flight is developed based upon a neural network model of the
cockroach escape reflex. Despite significant differences in objectives,
certain aspects of the cockroach escape response are consistent with
desired characteristics of a target seeking system. An evolutionary
target-seeking algorithm was generated to gather data to train the
neural net target-seeking system. Targeting data was generated through
intensive offline computing, which the target-seeking reflex was trained
to reproduce on-line instantly. A linear quadratic regulator (LQR)
autopilot executes reflexive guidance commands. With the trained
target-seeking system installed on a candidate air to-ground munition,
simulations show that the reflex may react to strike targets very
quickly. Context dependency was demonstrated through the actions of the
reflex striking targets moving on rapidly changing, evading, and
unpredictable trajectories, as well as through false and disruptive
sensor data

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Keywords

candidate air to-ground munition
 
Context dependency
 
desired characteristics
 
intensive offline
 
linear quadratic regulator
 
LQR
 
neural net target-seeking system
 
neural network model
 
reflex
 
reflex striking targets
 
reflexive guidance commands
 
reproduce on-line
 
strike targets
 
target-seeking reflex
 
target-seeking system
 
Targeting data
 
unpredictable trajectories
 

R. Vaidyanathan