Uland Wong

TL;DR: A broad cross-section of range sensing technologies for underground void modeling with an unprecedented number of configurations evaluated utilizing common methodology and metrics as well as a significant in situ environmental component lacking in prior characterization work are compared.

TL;DR: This paper describes the software used to construct the simulated Lunar environment and the components of the driving simulation, and the effect of using the high-fidelity synthetic Lunar images for visual odometry, and characterize the wheel slip model.

TL;DR: In this article, the authors present a framework that consists of an autonomous frontier and capability-based task generator, a distributed market-based strategy for coordinating and allocating tasks to the different team members, and a communication paradigm for seamless interaction between the different robots in the system.

TL;DR: A method is developed that improves the accuracy of super-resolution range maps over interpolation by fusing actively illuminated HDR camera imagery with LIDAR data in dark subterranean environments.