22 citations · 61 across the 6 of their papers we have counts for
7 papers
Compliance for Free: Learning Identifiable Impedance via Bilateral Teleoperation
Harsha Guda, Adrià Colomé, Carme Torras
Vision-language-action models tell a robot where to move, but not how hard to push. Contact-rich tasks depend on that second quantity, compliance, yet no widely used demonstration…
Deformable Surface Reconstruction via Riemannian Metric Preservation
Oriol Barbany, Adrià Colomé, Carme Torras
Estimating the pose of an object from a monocular image is an inverse problem fundamental in computer vision. The ill-posed nature of this problem requires incorporating deformatio…
Model Predictive Control for Dynamic Cloth Manipulation: Parameter Learning and Experimental Validation
Adrià Luque, David Parent, Adrià Colomé +2
Robotic cloth manipulation is a relevant challenging problem for autonomous robotic systems. Highly deformable objects as textile items can adopt multiple configurations and shapes…
Controlled Gaussian Process Dynamical Models with Application to Robotic Cloth Manipulation
Fabio Amadio, Juan Antonio Delgado-Guerrero, Adrià Colomé +1
Over the last years, significant advances have been made in robotic manipulation, but still, the handling of non-rigid objects, such as cloth garments, is an open problem. Physical…
Task-Adaptive Robot Learning from Demonstration with Gaussian Process Models under Replication
Miguel Arduengo, Adrià Colomé, Júlia Borràs +2
Learning from Demonstration (LfD) is a paradigm that allows robots to learn complex manipulation tasks that can not be easily scripted, but can be demonstrated by a human teacher.…
Gaussian-Process-based Robot Learning from Demonstration
Miguel Arduengo, Adrià Colomé, Joan Lobo-Prat +2
Endowed with higher levels of autonomy, robots are required to perform increasingly complex manipulation tasks. Learning from demonstration is arising as a promising paradigm for t…
Human to Robot Whole-Body Motion Transfer
Miguel Arduengo, Ana Arduengo, Adrià Colomé +2
Transferring human motion to a mobile robotic manipulator and ensuring safe physical human-robot interaction are crucial steps towards automating complex manipulation tasks in huma…