activity
20162023
most citedDataset of Industrial Metal Objects

11 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO20231 cited

Seamless Integration of Tactile Sensors for Cobots

Remko Proesmans, Francis wyffels

The development of tactile sensing is expected to enhance robotic systems in handling complex objects like deformables or reflective materials. However, readily available industria…

cs.RO2023

Augmenting Off-the-Shelf Grippers with Tactile Sensing

Remko Proesmans, Francis wyffels

The development of tactile sensing and its fusion with computer vision is expected to enhance robotic systems in handling complex tasks like deformable object manipulation. However…

cs.RO20231 cited

Revisiting Proprioceptive Sensing for Articulated Object Manipulation

Thomas Lips, Francis wyffels

Robots that assist humans will need to interact with articulated objects such as cabinets or microwaves. Early work on creating systems for doing so used proprioceptive sensing to…

cs.CV2022

CenDerNet: Center and Curvature Representations for Render-and-Compare 6D Pose Estimation

Peter De Roovere, Rembert Daems, Jonathan Croenen +3

We introduce CenDerNet, a framework for 6D pose estimation from multi-view images based on center and curvature representations. Finding precise poses for reflective, textureless o…

cs.CV202211 cited

Dataset of Industrial Metal Objects

Peter De Roovere, Steven Moonen, Nick Michiels +1

We present a diverse dataset of industrial metal objects. These objects are symmetric, textureless and highly reflective, leading to challenging conditions not captured in existing…

cs.CY20165 cited

Building ArtBots to Attract Students into STEM Learning

Francis wyffels, Willem Van de Steene, Jelle Roets +2

There is an increasing worldwide demand for people educated into science and technology. Unfortunately, girls and underprivileged students are often underrepresented in Science, Te…