47 citations · 81 across the 12 of their papers we have counts for
4 papers · 1 filter
Dynamic neuronal networks efficiently achieve classification in robotic interactions with real-world objects
Pakorn Uttayopas, Xiaoxiao Cheng, Udaya Bhaskar Rongala +2
Biological cortical networks are potentially fully recurrent networks without any distinct output layer, where recognition may instead rely on the distribution of activity across i…
Physically interacting humans regulate muscle coactivation to improve visuo-haptic perception
Hendrik Borner, Gerolamo Carboni, Xiaoxiao Cheng +4
When moving a piano or dancing tango with a partner, how should I control my arm muscles to best feel their movements and follow or guide them smoothly? Here we observe how physica…
Mechanical features based object recognition
Pakorn Uttayopas, Xiaoxiao Cheng, Jonathan Eden +1
Current robotic haptic object recognition relies on statistical measures derived from movement dependent interaction signals such as force, vibration or position. Mechanical proper…
Active Visuo-Tactile Interactive Robotic Perception for Accurate Object Pose Estimation in Dense Clutter
Prajval Kumar Murali, Anirvan Dutta, Michael Gentner +3
This work presents a novel active visuo-tactile based framework for robotic systems to accurately estimate pose of objects in dense cluttered environments. The scene representation…