Active simultaneous localization and mapping (SLAM) is the problem of planning and
controlling the motion of a robot to build the most accurate and complete model of the …

Autonomous exploration of unknown environments using a team of mobile robots demands
distributed perception and planning strategies to enable efficient and scalable performance …

This paper proposes a novel\emph {model-based policy gradient algorithm} for tracking
dynamic targets using a mobile robot, equipped with an onboard sensor with a limited field …

Many real-world mobile robot applications, such as disaster response, military
reconnaissance, and environmental monitoring, require operating in unknown and …

Nowadays with the growth of large-scale societal infrastructure systems, there has been
significant research attention on improving efficiency, guaranteeing safety, reducing …

• Objective: establish theory of active Bayesian inference and apply it to collaborative active
mapping problems in robotics• Task A: active Bayesian inference formulated as an optimal …