49 citations · 62 across the 3 of their papers we have counts for
4 papers
Fly Safe: Aerial Swarm Robotics using Force Field Particle Swarm Optimisation
Lauren Parker, James Butterworth, Shan Luo
Particle Swarm Optimisation (PSO) is a powerful optimisation algorithm that can be used to locate global maxima in a search space. Recent interest in swarms of Micro Aerial Vehicle…
GarmNet: Improving Global with Local Perception for Robotic Laundry Folding
Daniel Fernandes Gomes, Shan Luo, Luis F. Teixeira
Developing autonomous assistants to help with domestic tasks is a vital topic in robotics research. Among these tasks, garment folding is one of them that is still far from being a…
Robotic Tactile Perception of Object Properties: A Review
Shan Luo, Joao Bimbo, Ravinder Dahiya +1
Touch sensing can help robots understand their sur- rounding environment, and in particular the objects they interact with. To this end, roboticists have, in the last few decades,…
Iterative Closest Labeled Point for Tactile Object Shape Recognition
Shan Luo, Wenxuan Mou, Kaspar Althoefer +1
Tactile data and kinesthetic cues are two important sensing sources in robot object recognition and are complementary to each other. In this paper, we propose a novel algorithm nam…