The design and development of social robots that interact and assist people in daily life requires moving into unconstrained daily-life environments. This presents unexplored meth...
Fumihide Tanaka, Javier R. Movellan, Bret Fortenbe...
In a large sensor network, in-network data aggregation, i.e., combining partial results at intermediate nodes during message routing, significantly reduces the amount of communic...
— In wireless sensor networks, many protocols assume that if node A is able to interfere with node B’s packet reception, then node B is within node A’s communication range. I...
Gang Zhou, Tian He, John A. Stankovic, Tarek F. Ab...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Increasingly, biology researchers and medical practitioners are using computational tools to model and analyze dynamic systems across scales from the macro to the cellular to the ...
Nicholas F. Polys, Doug A. Bowman, Chris North, Re...