1 citations · 1 across the 11 of their papers we have counts for
11 papers
Instrumentation for Imitation Learning: Enhancing Training Datasets for Clothes Hanger Insertion
Remko Proesmans, Thomas Lips, Francis wyffels
Large behaviour models have transformed the field of robotic manipulation, but prohibitive data requirements have thus far prevented a revolution similar to vision language models.…
You're Pushing My Buttons: Instrumented Learning of Gentle Button Presses
Raman Talwar, Remko Proesmans, Thomas Lips +2
Learning contact-rich manipulation is difficult from cameras and proprioception alone because contact events are only partially observed. We test whether training-time instrumentat…
Designing Robots with, not for: A Co-Design Framework for Empowering Interactions in Forensic Psychiatry
Qiaoqiao Ren, Remko Proesmans, Arend Pissens +7
Forensic mental health care involves the treatment of individuals with severe mental disorders who have committed violent offences. These settings are often characterized by high l…
A Dataset and Benchmark for Robotic Cloth Unfolding Grasp Selection: The ICRA 2024 Cloth Competition
Victor-Louis De Gusseme, Thomas Lips, Remko Proesmans +59
Robotic cloth manipulation suffers from a lack of standardized benchmarks and shared datasets for evaluating and comparing different approaches. To address this, we created a bench…
Instrumentation for Better Demonstrations: A Case Study
Remko Proesmans, Thomas Lips, Francis wyffels
Learning from demonstrations is a powerful paradigm for robot manipulation, but its effectiveness hinges on both the quantity and quality of the collected data. In this work, we pr…
Self-Mixing Laser Interferometry: In Search of an Ambient Noise-Resilient Alternative to Acoustic Sensing
Remko Proesmans, Thomas Lips, Francis wyffels
Self-mixing interferometry (SMI) has been lauded for its sensitivity in detecting microvibrations, while requiring no physical contact with its target. Microvibrations, i.e., sound…
Self-Mixing Laser Interferometry for Robotic Tactile Sensing
Remko Proesmans, Ward Goossens, Lowiek Van den Stockt +2
Self-mixing interferometry (SMI) has been lauded for its sensitivity in detecting microvibrations, while requiring no physical contact with its target. In robotics, microvibrations…
Touch and Tell: Multimodal Decoding of Human Emotions and Social Gestures for Robots
Qiaoqiao Ren, Remko Proesmans, Yuanbo Hou +2
Human emotions are complex and can be conveyed through nuanced touch gestures. Previous research has primarily focused on how humans recognize emotions through touch or on identify…
Automatic Calibration for an Open-source Magnetic Tactile Sensor
Lowiek Van den Stockt, Remko Proesmans, Francis wyffels
Tactile sensing can enable robots to perform complex, contact-rich tasks. Magnetic sensors offer accurate three-axis force measurements while using affordable materials. Calibratin…
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…
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…