3 accepted papers
This paper explores decision-making processes in robotic systems tasked with reconstructing scalar fields through sensing in uncertain environments. Each robot must handle noisy perception and operate within specific environmental and physical constraints. The complexity increases in multiagent scen
In multi-robot informative path planning the problem is to find a route for each robot in a team to visit a set of locations that can provide the most useful data to reconstruct an unknown scalar field. In the budgeted version, each robot is subject to a travel budget limiting the distance it can tr…
In this paper we consider the information path-planning problem for a single robot in a stochastic environment with static obstacles subject to a preassigned constraint on the distance it can travel. Given a set of candidate sampling locations, the objective is to determine a path for the robot that…