Two late breaking breaking Reports accepted at the ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2024.
- Transition State Clustering for Interaction Segmentation and Learning by Fabian Hahne, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki
We improve action segmentation and motion prediction with a hierarchical HMMs for reactive motion generation in HRI tasks
~ TSC-HMM
- Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers by Yasemin Goeksu, Antonio Almeida-Correia, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Jan Peters, Georgia Chalvatzaki
We look at imposing grip-width constraints for adapting reactively generated Bi-manual Robot-to-Human handovers to ensure a suitable grasp that maintains a constant grip width for the given object.
~ HSMM
Manuscripts to be posted soon. Keep an 👀 out on this page.
EDIT 1:
We have updated the post with links to the papers and info. Do check it out. ⭐