8 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…
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…
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…
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…
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…