64 citations · 224 across the 36 of their papers we have counts for
3 papers · 1 filter
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…