We propose a decentralized variant of Monte Carlo tree search (MCTS) that is suitable for a
variety of tasks in multi-robot active perception. Our algorithm allows each robot to optimize …

Understanding animal movements that underpin ecosystem processes is fundamental to
ecology. Recent advances in animal tags have increased the ability to remotely locate larger …

We propose a self-organising map (SOM) algorithm as a solution to a new multi-goal path
planning problem for active perception and data collection tasks. We optimise paths for a …

We present an algorithm for selecting when to communicate during online planning phases
of coordinated multi-robot missions. The key idea is that a robot decides to request …

We consider the problem of reconstructing regions of interest of a scene using multiple robot
arms and RGB-D sensors. This problem is motivated by a variety of applications, such as …

A novel strategy is presented to determine the next-best view for a robot arm, equipped with
a depth camera in eye-in-hand configuration, which is oriented to autonomous exploration of …

Classifying objects in complex unknown environments is a challenging problem in robotics
and is fundamental in many applications. Modern sensors and sophisticated perception …

We propose a decentralised variant of Monte Carlo tree search (MCTS) that is suitable for a
variety of tasks in multi-robot active perception. Our algorithm allows each robot to optimise …

Next best view (NBV) planning is a central task for automated three-dimensional (3-D)
reconstruction in robotics. The most expensive phase of NBV computation is the view …

We propose a self-organising map (SOM) algorithm as a solution to a new multi-goal path
planning problem for active perception and data collection tasks. We optimise paths for a …