The employment of unmanned aerial vehicles (UAVs) has greatly facilitated the lives of
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …

The motivation behind our work is to review and analyze the most relevant studies on deep
reinforcement learning-based object manipulation. Various studies are examined through a …

This article presents a robotic pick-and-place system that is capable of gras** and
recognizing both known and novel objects in cluttered environments. The key new feature of …

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 …

A multi-view image sequence provides a much richer capacity for object recognition than
from a single image. However, most existing solutions to multi-view recognition typically …

Rapid development of artificial intelligence motivates researchers to expand the capabilities
of intelligent and autonomous robots. In many robotic applications, robots are required to …

Multi-view deep neural network is perhaps the most successful approach in 3D shape
classification. However, the fusion of multi-view features based on max or average pooling …

This work presents a novel active visuo-tactile based framework for robotic systems to
accurately estimate pose of objects in dense cluttered environments. The scene …

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 …

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 …