Multi-agent navigation: communication

Multi-agent navigation: communication

This is the last of three parts that describe developments related to multi-agent navigation carried out by SUPSI in the context of REXASI-PRO. Proxemics, a form of implicit communication, governs human perception and use of space. For instance, standing in front of a...
Multi-agent navigation: learning

Multi-agent navigation: learning

This is the second of three parts that describe developments related to multi-agent navigation carried out by SUPSI in the context of REXASI-PRO. Machine-learning (ML) has three primary applications in robotics navigation: perception (models that extract an...
Multi-agent navigation: simulation

Multi-agent navigation: simulation

This is the first of three parts that describe developments related to multi-agent navigation carried out by SUPSI in the context of REXASI-PRO. Navigation is a fundamental skill for humans, animals, and mobile robots: the ability to follow a direction while avoiding...