4 papers · 1 filter
Multimodal Visual-haptic pose estimation in the presence of transient occlusion
Michael Zechmair, Yannick Morel
Human-robot collaboration requires the establishment of methods to guarantee the safety of participating operators. A necessary part of this process is ensuring reliable human pose…
Systematically Exploring the Landscape of Grasp Affordances via Behavioral Manifolds
Michael Zechmair, Yannick Morel
The use of machine learning to investigate grasp affordances has received extensive attention over the past several decades. The existing literature provides a robust basis to buil…
ProcNet: Deep Predictive Coding Model for Robust-to-occlusion Visual Segmentation and Pose Estimation
Michael Zechmair, Alban Bornet, Yannick Morel
Systems involving human-robot collaboration necessarily require that steps be taken to ensure safety of the participating human. This is usually achievable if accurate, reliable es…
Penalty-based Numerical Representation of Rigid Body Interactions with Applications to Simulation of Robotic Grasping
Michael Zechmair, Yannick Morel
This paper presents a novel approach to numerically describe the interactions between rigid bodies, with a special focus on robotic grasping. Some of the more common approaches use…