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Unibind: Llm-augmented unified and balanced representation space to bind them all
We present UniBind a flexible and efficient approach that learns a unified representation
space for seven diverse modalities--images text audio point cloud thermal video and event …
space for seven diverse modalities--images text audio point cloud thermal video and event …
LaMI: Large language models for multi-modal human-robot interaction
This paper presents an innovative large language model (LLM)-based robotic system for
enhancing multi-modal human-robot interaction (HRI). Traditional HRI systems relied on …
enhancing multi-modal human-robot interaction (HRI). Traditional HRI systems relied on …
[HTML][HTML] Study of Human–Robot Interactions for Assistive Robots Using Machine Learning and Sensor Fusion Technologies
In recent decades, the potential of robots' understanding, perception, learning, and action
has been widely expanded due to the integration of artificial intelligence (AI) into almost …
has been widely expanded due to the integration of artificial intelligence (AI) into almost …
Centering the value of every modality: Towards efficient and resilient modality-agnostic semantic segmentation
Fusing an arbitrary number of modalities is vital for achieving robust multi-modal fusion of
semantic segmentation yet remains less explored to date. Recent endeavors regard RGB …
semantic segmentation yet remains less explored to date. Recent endeavors regard RGB …
Omnibench: Towards the future of universal omni-language models
Recent advancements in multimodal large language models (MLLMs) have aimed to
integrate and interpret data across diverse modalities. However, the capacity of these …
integrate and interpret data across diverse modalities. However, the capacity of these …
[HTML][HTML] The Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for …
The potential use of large language models (LLMs) in healthcare robotics can help address
the significant demand put on healthcare systems around the world with respect to an aging …
the significant demand put on healthcare systems around the world with respect to an aging …
[HTML][HTML] Reviewing human-robot collaboration in manufacturing: Opportunities and challenges in the context of industry 5.0
Abstract Industry 4.0 (I4. 0) has been characterized by the increasing use of automation,
artificial intelligence, and big data in manufacturing. It has brought different machines, tools …
artificial intelligence, and big data in manufacturing. It has brought different machines, tools …
Omnibind: Teach to build unequal-scale modality interaction for omni-bind of all
Research on multi-modal learning dominantly aligns the modalities in a unified space at
training, and only a single one is taken for prediction at inference. However, for a real …
training, and only a single one is taken for prediction at inference. However, for a real …
The Conversation is the Command: Interacting with Real-World Autonomous Robots Through Natural Language
In recent years, autonomous agents have surged in real-world environments such as our
homes, offices, and public spaces. However, natural human-robot interaction remains a key …
homes, offices, and public spaces. However, natural human-robot interaction remains a key …
Embodied AI for dexterity-capable construction Robots: DEXBOT framework
The construction industry is integrating robots into critical tasks at an accelerated pace, with
the aim of enhancing efficiency, safety, and productivity. However, construction tasks …
the aim of enhancing efficiency, safety, and productivity. However, construction tasks …