49 citations · 119 across the 7 of their papers we have counts for
5 papers · 1 filter
Generating Future Observations to Estimate Grasp Success in Cluttered Environments
Daniel Fernandes Gomes, Wenxuan Mou, Paolo Paoletti +1
End-to-end self-supervised models have been proposed for estimating the success of future candidate grasps and video predictive models for generating future observations. However,…
When Would You Trust a Robot? A Study on Trust and Theory of Mind in Human-Robot Interactions
Wenxuan Mou, Martina Ruocco, Debora Zanatto +1
Trust is a critical issue in Human Robot Interactions as it is the core of human desire to accept and use a non human agent. Theory of Mind has been defined as the ability to under…
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…
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…