This work aims to solve the problem of relative navigation for space rendezvous and proximity operations using a monocular camera in a numerically efficient manner. It is assumed ...
This paper presents a Learning-based Nonlinear Model Predictive Control (LB-NMPC) algorithm to achieve high-performance path tracking in challenging off-road terrain through lear...
Chris J. Ostafew, Angela P. Schoellig, Timothy D. ...
Simultaneous localization and mapping (SLAM) in unknown GPS-denied environments is a major challenge for researchers in the field of mobile robotics. There exist many solutions f...
Sajad Saeedi G., Michael Trentini, Mae L. Seto, Ho...
Evolutionary models in which N players are repeatedly matched to play a game have “fast convergence” to a set A if the models both reach A quickly and leave A slowly, where ...
__________________________________________________________________________________ We study optimal fiscal policy in a small open economy (SOE) with sovereign and private default r...
Behavioral economics struggles to explain why people sometimes evaluate outcomes separately (narrow bracketing of mental accounts) and sometimes jointly (broad bracketing). We dev...
On average, “young” people underestimate whereas “old” people overestimate their chances to survive into the future. We adopt a Bayesian learning model of ambiguous surviv...
We analyze a principal-agent problem with moral hazard where a principal searches for an opportunity of uncertain return, and hires an agent to evaluate available options. The age...
A seller maximizes revenue from selling an object in a dynamic environment, with buyers that differ in their patience: Each buyer has a privately known deadline for buying and a p...