With the success of Mars Pathfinder’s Sojourner rover, a new era of planetary exploration has opened, with demand for highly capable mobile robots. These robots must be able to traverse long distances over rough, unknown terrain autonomously, under severe resource constraints. Based on the authors’ firsthand experience with the Mars Pathfinder mission, this paper reviews issues which are critic...

Multivariate adaptive regression splines (MARS) has been adopted as a popular surrogate function to model the unknown relationships between input and output variables in complex systems. Searching optimal solutions on complicated response surface of MARS serves important tasks various applications. In this paper, we present an efficient effective approach find global value models that incorpora...

A robust integrated navigation algorithm based on a special robust desensitized extended Kalman filtering with analytical gain (ADEKF) during the Mars atmospheric entry is proposed. The robust ADEKF is realized by minimizing a new function penalized by a trace weighted norm of the state error sensitivities and giving a closed-form gain matrix. The uncertainties of the Mars atmospheric density a...

As outer space image acquisition techniques progress, larger amounts of planetary data sets become available. Impact crater statistics about planets is an important resource as use of this information reveals geological history. Since manual detection of impact craters requires substantial human resource, there is a compelling need to investigate automated crater detection algorithms. In this s...

Aerodynamic design optimization of an airfoil for the Mars exploration airplane has been demonstrated by using an evolutionary algorithm. The adaptive range genetic algorithm is used for efficient and robust design optimization. Two-dimensional Navier-Stokes solver is used for accurate aerodynamic performance evaluation. The present computation is parallelized on the SX-6 vector computers in In...

A 3-level modeling framework to adaptive resource management in mobile augmented reality systems (MARS) is proposed, which is based on comprehensive data structuring and analyzing of their specific hardand software features. At the conceptual modeling level an ontological specification of MARS resources is constructed, at the logical modeling level a case-based reasoning algorithm is elaborated...

Multivariate adpative regression splines (MARS) provide a flexible statistical modeling method that employs forward and backward search algorithms to identify the combination of basis functions that best fits the data and simultaneously conduct variable selection. In optimization, MARS has been used successfully to estimate the unknown functions in stochastic dynamic programming (SDP), stochast...