ModRED (Modular
Robot for Exploration and Discovery)
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CAD drawing of the proposed modular robot |
First hardware prototype of ModRED |
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Videos of simulated motion of ModRED on Webots
simulator |
Funding:
NASA EPSCoR (2011-2014), NASA Nebraska
Space Grant Program (Seed
Funding 2010-2011)
Co-investigator: Dr. Carl Nelson, Associate Professor, Mechanical Engineering Department, University of Nebraska, Lincoln.
The objective of the ModRED project is to improve existing techniques for
automated exploring of initially unknown or little-known environments such as
extra-terrestrial surfaces on the Moon or Mars or terrestrial regions with
limited accesibility (e.g., for USAR scenarios). Our proposed solution uses modular self-reconfigurable
robots (MSRs) that are composed of multiple, closely interacting modules
coupled together to achieve the desired shape and motion of the overall robot.
MSRs are particularly attractive for maneuvering in non-uniform and unpredictable
surfaces such as extra-terrestrial environments because they can dynamically
adapt their gait and shape based on the current operational and environment
conditions. Our proposed research plan enhances the state-of-the-art techniques
for exploration using MSRs along two major directions. The first direction
pursues an advanced design of a highly dexterous MSR called ModRED
(Modular Robot for Exploration and Discovery). Unlike previously designed
modular robots which have limited mobility in tight spaces due to a maximum
possible 3-DOF (degrees of freedom), ModRED has 4-DOF
that will allow it to maneuver itself efficiently after encountering various
types of obstacles. Our second research direction is to develop technologies to
autonomously control the configuration and navigation of ModRED.
Previous research in the control of MSRs has mainly been done in a
‘hand-crafted-by-humans’ manner – the movement of every module required to
achieve a desired gait for the overall robot is specified a priori using a
static ‘gait’ table. Our proposed research attempts to automate these
hand-crafted behaviors of the robot by developing novel methodologies that
combine control theory-based multi-robot team formation techniques with game
theory-based multi-agent coalition formation techniques. We will investigate
techniques that allow ModRED to monitor its own
performance and dynamically adjust its shape and gait pattern after
encountering occlusions in its path, so that it can continue its exploration of
the environment efficiently while reducing its energy consumption and the time
required to complete the exploration operation. We
propose to validate our research results using theoretical analyses, simulation
experiments and tests on the physical ModRED robot.
The research results can also be easily adapted to a variety of robotic
platforms and applied to various other domains such as reconnaissance and
patrolling missions for homeland security applications, semi-automated human
surgery for medical applications, automated lawn-mowing or cattle herding, or
for domestic applications.
2012
2011
2010 and earlier