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SAR-SLAM is an RGB-D SLAM framework that combines semantic detection with geometric verification to distinguish stationary from moving objects, reducing...

A study of speech-to-intent recognition for human-robot interaction in elderly-care environments in German, deployed on resource-constrained platforms, comparing a modular...

GESTRO introduces a dataset of 11 dynamic gestures with 3,300 samples for intuitively controlling mobile autonomous systems, together with an...

A multimodal dataset of human-robot interactions collected with a Wizard-of-Oz methodology across a logistics-inspired workspace and a home environment, capturing...

A non-autoregressive transformer based on spatio-temporal attention, trained for both local pose anticipation and global motion prediction in space, while...

Reliable 3D detection is fundamental to autonomous systems such as mobile robots, self-driving cars, and UAVs. This literature review categorizes...

6D pose estimation is a cornerstone of various autonomous systems, including mobile robots and self-driving cars, because it enables fundamental...

A user study in a realistic collaborative HRI scenario with unscripted tasks evaluates the performance of current eye contact detection...

Anticipation of human behaviours facilitates autonomous systems in proactive planning. Human behaviour could be stochastic due to varying goals. Human...

Humans in a society generally tend to implicitly adhere to the shared social norms established within that culture. Robots operating...

As humans and robots collaborate more in industrial settings, flexible interaction modalities become essential. This study evaluates a hybrid interaction...

We propose a novel HAR framework integrating residual networks, Bi-LSTM, and multi-head attention with a motion-based frame selection strategy. It...

We present our novel engagement modeling framework IMHERE, designed to improve human-robot interaction by capturing relational dynamics using a formal...

We present a fully automated pipeline that leverages Radiance Field–based universal 3D representations to rapidly generate high-quality models of arbitrary...

With the rapid development of large language models (LLMs), their integration into autonomous systems has become essential. This integration significantly...

We introduce a new approach to predict human engagement in human-robot interactions (HRI), focusing on eye contact and distance information....

We propose an enhanced SLAM framework that combines RGB-D and 2D LiDAR data using late fusion and adaptive resampling for...

We present our recent work on gaze estimation. Our approach is a novel two-branch CNN architecture with a multi-loss approach...