activity
20152023
most citedLearning Barrier Functions for Constrained Motion Planning with Dynamical Systems

62 citations · 284 across the 28 of their papers we have counts for

collaborators

28 papers

cs.CV2023

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…

cs.RO2023

A Shared Control Approach Based on First-Order Dynamical Systems and Closed-Loop Variable Stiffness Control

Haotian Xue, Youssef Michel, Dongheui Lee

In this paper, we present a novel learning-based shared control framework. This framework deploys first-order Dynamical Systems (DS) as motion generators providing the desired refe…

cs.RO2023

A Passivity-based Approach for Variable Stiffness Control with Dynamical Systems

Youssef Michel, Matteo Saveriano, Dongheui Lee

In this paper, we present a controller that combines motion generation and control in one loop, to endow robots with reactivity and safety. In particular, we propose a control appr…

cs.CV2023★ 17 cited

Human-Object Interaction Prediction in Videos through Gaze Following

Zhifan Ni, Esteve Valls Mascaró, Hyemin Ahn +1

Understanding the human-object interactions (HOIs) from a video is essential to fully comprehend a visual scene. This line of research has been addressed by detecting HOIs from ima…

cs.CV2023

Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?

Hyemin Ahn, Esteve Valls Mascaro, Dongheui Lee

After many researchers observed fruitfulness from the recent diffusion probabilistic model, its effectiveness in image generation is actively studied these days. In this paper, our…

cs.CV2023

Fusing Visual Appearance and Geometry for Multi-modality 6DoF Object Tracking

Manuel Stoiber, Mariam Elsayed, Anne E. Reichert +3

In many applications of advanced robotic manipulation, six degrees of freedom (6DoF) object pose estimates are continuously required. In this work, we develop a multi-modality trac…