86 citations · 284 across the 8 of their papers we have counts for
4 papers · 1 filter
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,…
Localizing the Object Contact through Matching Tactile Features with Visual Map
Shan Luo, Wenxuan Mou, Kaspar Althoefer +1
This paper presents a novel framework for integration of vision and tactile sensing by localizing tactile readings in a visual object map. Intuitively, there are some correspondenc…
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…
Knock-Knock: Acoustic Object Recognition by using Stacked Denoising Autoencoders
Shan Luo, Leqi Zhu, Kaspar Althoefer +1
This paper presents a successful application of deep learning for object recognition based on acoustic data. The shortcomings of previously employed approaches where handcrafted fe…