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Robot Vehicle Route Planners

Umbra can use route planners to provide high-level path plans for simulated robotic vehicles. In real environments, routes are planned from various DTED® level terrain models. The robots then typically use navigation algorithms to avoid unmodeled obstacles.

Umbra’s ability to use multiple data representations allows routes to be planned on low detail and executed on higher detail terrain. This, in turn, provides an ability to evaluate the validity of these hierarchical control algorithms.

Route planning algorithm developed in Umbra. Typical route planning software uses terrain, coverage and mobility to find optimal vehicle routes between specific goal points through complex terrains. Sandia’s constraint-based route planners add intervisibility checks with known target positions to find routes that bring vehicles within site of the targets.
Computer Interface for Constraint-based Route Planning Software

Robotic Arm Motion Planners

This model was built to evaluate utility of an advanced robotic arm concept on a mobile delivery platform in dexterous manipulation and inspection tasks. The model geometry was exported from IGRIP. Forward kinematics equations, which relate joint values to device motions, were defined through the Umbra geometric scene module. A motion planner, which used a Monte Carlo technique, path smoothing, and UNC’s V-Collide collision detection software was used to generate device motions between major pose positions (e.g., stowed, deployed and inside window).
 
Contact:
Elaine Hinman-Sweeney
(505) 845-2780
email: emhinma@sandia.gov
Comments and questions to robotic-center@sandia.gov

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