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20162019
most citedIterative Closest Labeled Point for Tactile Object Shape Recognition

49 citations · 130 across the 4 of their papers we have counts for

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cs.RO2024

DexSkills: Skill Segmentation Using Haptic Data for Learning Autonomous Long-Horizon Robotic Manipulation Tasks

Xiaofeng Mao, Gabriele Giudici, Claudio Coppola +4

Effective execution of long-horizon tasks with dexterous robotic hands remains a significant challenge in real-world problems. While learning from human demonstrations have shown e…

cs.RO20193 cited

Robotic-assisted Ultrasound for Fetal Imaging: Evolution from Single-arm to Dual-arm System

Shuangyi Wang, James Housden, Yohan Noh +20

The development of robotic-assisted extracorporeal ultrasound systems has a long history and a number of projects have been proposed since the 1990s focusing on different technical…

cs.RO2018

iCLAP: Shape Recognition by Combining Proprioception and Touch Sensing

Shan Luo, Wenxuan Mou, Kaspar Althoefer +1

For humans, both the proprioception and touch sensing are highly utilized when performing haptic perception. However, most approaches in robotics use only either proprioceptive dat…

cs.RO2018

Real-time Robot-assisted Ergonomics

Ali Shafti, Ahmad Ataka, Beatriz Urbistondo Lazpita +3

This paper describes a novel approach in human robot interaction driven by ergonomics. With a clear focus on optimising ergonomics, the approach proposed here continuously observes…

cs.RO201738 cited

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…

cs.RO201749 cited

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…