Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
We present a scalable, hierarchical control system for the dynamic resource management of a distributed real-time embedded (DRE) system. This DRE is inspired by the DARPA Adaptive...
Kurt Rohloff, Yarom Gabay, Jianming Ye, Richard E....
As military interest continues to grow for Unmanned Aerial Vehicle (UAV) capabilities, the Air Force is exploring UAV autonomous control, mission planning and optimization techniq...
This article investigates fundamental issues in scaling autonomous personal robots towards open-ended sets of everyday manipulation tasks which involve high complexity and vague j...
Flying insects use highly efficient visual strategies to control their self-motion in three-dimensional space. We present a biologically inspired, minimalistic model for visual ...