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IJRR
2007

Optimal Rough Terrain Trajectory Generation for Wheeled Mobile Robots

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Optimal Rough Terrain Trajectory Generation for Wheeled Mobile Robots
An algorithm is presented for wheeled mobile robot trajectory generation that achieves a high degree of generality and efficiency. The generality derives from numerical linearization and inversion of forward models of propulsion, suspension, and motion for any type of vehicle. Efficiency is achieved by using fast numerical optimization techniques and effective initial guesses for the vehicle controls parameters. This approach can accommodate such effects as rough terrain, vehicle dynamics, models of wheel-terrain interaction, and other effects of interest. It can accommodate boundary and internal constraints while optimizing an objective function that might, for example, involve such criteria as obstacle avoidance, cost, risk, time, or energy consumption in any combination. The algorithm is efficient enough to use in real time due to its use of nonlinear programming techniques that involve searching the space of parameterized vehicle controls.Applications of the presented methods a...
Thomas M. Howard, Alonzo Kelly
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where IJRR
Authors Thomas M. Howard, Alonzo Kelly
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