4 papers
Capability-based Frameworks for Industrial Robot Skills: a Survey
Matteo Pantano, Thomas Eiband, Dongheui Lee
The research community is puzzled with words like skill, action, atomic unit and others when describing robots' capabilities. However, for giving the possibility to integrate capab…
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis
Esteve Valls Mascaro, Hyemin Ahn, Dongheui Lee
The synthesis of human motion has traditionally been addressed through task-dependent models that focus on specific challenges, such as predicting future motions or filling in inte…
Robust Human Motion Forecasting using Transformer-based Model
Esteve Valls Mascaro, Shuo Ma, Hyemin Ahn +1
Comprehending human motion is a fundamental challenge for developing Human-Robot Collaborative applications. Computer vision researchers have addressed this field by only focusing…
Intention-Conditioned Long-Term Human Egocentric Action Forecasting
Esteve Valls Mascaro, Hyemin Ahn, Dongheui Lee
To anticipate how a human would act in the future, it is essential to understand the human intention since it guides the human towards a certain goal. In this paper, we propose a h…