57 citations · 155 across the 48 of their papers we have counts for
6 papers · 1 filter
Patrolling Grids with a Bit of Memory
Michael Amir, Dmitry Rabinovich, Alfred M. Bruckstein
This work addresses the challenge of patrolling regular grid graphs of any dimension using a single mobile agent with minimal memory and limited sensing range. We show that it is i…
Exploration of unknown indoor regions by a swarm of energy-constrained drones
Ori Rappel, Joseph Z. Ben-Asher, Alfred M. Bruckstein
Several distributed algorithms are presented for the exploration of unknown indoor regions by a swarm of flying, energy constrained agents. The agents, which are identical, autonom…
Spiral Sweeping Search for Smart Evaders
Roee M. Francos, Alfred M. Bruckstein
Consider a given planar circular region, in which there is an unknown number of smart mobile evaders. We wish to detect evaders using a line formation of sweeping agents whose tota…
Guaranteed Evader Detection in Multi-Agent Search Tasks using Pincer Trajectories
Roee M. Francos, Alfred M. Bruckstein
Assume that inside an initial planar area there are smart mobile evaders attempting to avoid detection by a team of sweeping searching agents. All sweepers detect evaders with fan-…
A model is worth tens of thousands of examples
Thomas Dagès, Laurent D. Cohen, Alfred M. Bruckstein
Traditional signal processing methods relying on mathematical data generation models have been cast aside in favour of deep neural networks, which require vast amounts of data. Sin…
From Compass and Ruler to Convolution and Nonlinearity: On the Surprising Difficulty of Understanding a Simple CNN Solving a Simple Geometric Estimation Task
Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein
Neural networks are omnipresent, but remain poorly understood. Their increasing complexity and use in critical systems raises the important challenge to full interpretability. We p…