activity
20142023
most citedIndirect Shared Control of Highly Automated Vehicles for Cooperative Driving between Driver and Automation

105 citations · 194 across the 19 of their papers we have counts for

collaborators

19 papers

cs.RO2023★ 6 cited

Concurrent Haptic, Audio, and Visual Data Set During Bare Finger Interaction with Textured Surfaces

Alexis W. M. Devillard, Aruna Ramasamy, Damien Faux +2

Perceptual processes are frequently multi-modal. This is the case of haptic perception. Data sets of visual and haptic sensory signals have been compiled in the past, especially wh…

cs.RO2023

Push to know! -- Visuo-Tactile based Active Object Parameter Inference with Dual Differentiable Filtering

Anirvan Dutta, Etienne Burdet, Mohsen Kaboli

For robotic systems to interact with objects in dynamic environments, it is essential to perceive the physical properties of the objects such as shape, friction coefficient, mass,…

q-bio.NC2022

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…

physics.bio-ph2022

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…

cs.RO2022

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…

cs.RO2022★ 47 cited

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…