17 citations · 30 across the 10 of their papers we have counts for
10 papers
Know your limits! Optimize the robot's behavior through self-awareness
Esteve Valls Mascaro, Dongheui Lee
As humanoid robots transition from labs to real-world environments, it is essential to democratize robot control for non-expert users. Recent human-robot imitation algorithms focus…
I-CTRL: Imitation to Control Humanoid Robots Through Constrained Reinforcement Learning
Yashuai Yan, Esteve Valls Mascaro, Tobias Egle +1
Humanoid robots have the potential to mimic human motions with high visual fidelity, yet translating these motions into practical, physical execution remains a significant challeng…
Robot Interaction Behavior Generation based on Social Motion Forecasting for Human-Robot Interaction
Esteve Valls Mascaro, Yashuai Yan, Dongheui Lee
Integrating robots into populated environments is a complex challenge that requires an understanding of human social dynamics. In this work, we propose to model social motion forec…
HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative roBOTs
Esteve Valls Mascaro, Daniel Sliwowski, Dongheui Lee
Robots are becoming increasingly integrated into our lives, assisting us in various tasks. To ensure effective collaboration between humans and robots, it is essential that they un…
ImitationNet: Unsupervised Human-to-Robot Motion Retargeting via Shared Latent Space
Yashuai Yan, Esteve Valls Mascaro, Dongheui Lee
This paper introduces a novel deep-learning approach for human-to-robot motion retargeting, enabling robots to mimic human poses accurately. Contrary to prior deep-learning-based w…
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…
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…
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…
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…