3 accepted papers
This paper presents a framework for multi-agent navigation in structured but dynamic environments, integrating three key components: a shared semantic map encoding metric and semantic environmental knowledge, a claim policy for coordinating access to areas within the environment, and a Model Predict
We propose a shared semantic map architecture to construct and configure Model Predictive Controllers (MPC) dynamically, that solve navigation problems for multiple robotic agents sharing parts of the same environment. The navigation task is represented as a sequence of semantically labeled areas in…
This paper proposes a method to integrate the rich semantic data-set provided by Building Information Modeling (BIM) with robotics world models, taking as use case indoor semantic localization in a large university building. We convert a subset of semantic entities with associated geometry present i…