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Found 7 papers, 1 papers with code
Robot Interaction Behavior Generation based on Social Motion Forecasting for Human-Robot Interaction
Integrating robots into populated environments is a complex challenge that requires an understanding of human social dynamics.
HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative roBOTs
In this paper, we propose a Human-Object Interaction (HOI) anticipation framework for collaborative robots.
Ranked #1 on
Human-Object Interaction Anticipation
on VidHOI
Human-Object Interaction Anticipation
Human-Object Interaction Detection
ImitationNet: Unsupervised Human-to-Robot Motion Retargeting via Shared Latent Space
Additionally, we propose a consistency term to build a common latent space that captures the similarity of the poses with precision while allowing direct robot motion control from the latent space.
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis
Experimental results show that our model successfully forecasts human motion on the Human3. 6M dataset.
Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?
After many researchers observed fruitfulness from the recent diffusion probabilistic model, its effectiveness in image generation is actively studied these days.
Robust Human Motion Forecasting using Transformer-based Model
In addition, our model is tested in conditions where the human motion is severely occluded, demonstrating its robustness in reconstructing and predicting 3D human motion in a highly noisy environment.
Intention-Conditioned Long-Term Human Egocentric Action Forecasting
Our framework first extracts two level of human information over the N observed videos human actions through a Hierarchical Multi-task MLP Mixer (H3M).
Ranked #1 on
Long Term Action Anticipation
on Ego4D
