Francesco Verolla
YOU?
Author Swipe
View article: Probability propagation for path planning in unknown environments
Probability propagation for path planning in unknown environments Open
View article: Probabilistic Inference and Dynamic Programming: A Unified Approach to Multi-Agent Autonomous Coordination in Complex and Uncertain Environments
Probabilistic Inference and Dynamic Programming: A Unified Approach to Multi-Agent Autonomous Coordination in Complex and Uncertain Environments Open
We present a unified approach to multi-agent autonomous coordination in complex and uncertain environments, using path planning as a problem context. We start by posing the problem on a probabilistic factor graph, showing how various path …
View article: A Unifying View of Estimation and Control Using Belief Propagation With Application to Path Planning
A Unifying View of Estimation and Control Using Belief Propagation With Application to Path Planning Open
The use of estimation techniques on stochastic models to solve control problems is an emerging paradigm that falls under the rubric of Active Inference (AI) and Control as Inference (CAI). In this work, we use probability propagation on fa…
View article: A Unified View of Algorithms for Path Planning Using Probabilistic Inference on Factor Graphs
A Unified View of Algorithms for Path Planning Using Probabilistic Inference on Factor Graphs Open
Even if path planning can be solved using standard techniques from dynamic programming and control, the problem can also be approached using probabilistic inference. The algorithms that emerge using the latter framework bear some appealing…