Multimodal Sensing Fusion-Based LLM Agent Methods, System, and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 1888
Special Issue Editor
Interests: multimodal large language models; lightweight large language models; robust and secure large language models; computer vision; AIGC and LLM
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of multimodal sensor data with large language model (LLM) agents represents an important frontier in artificial intelligence as it combines heterogeneous streams of information to advance machine perception, reasoning, and interaction. LLM agents, which are trained on extensive and diverse datasets, have demonstrated strong capabilities in language understanding, contextual inference, and complex decision-making. When augmented with multimodal sensing that incorporates visual, auditory, speech, tactile, LiDAR, radar, physiological, and other forms of data, these agents can achieve more comprehensive situational awareness and higher adaptability in dynamic and uncertain environments. Such integration not only improves real-time decision-making and enhances human–machine interaction but also creates new opportunities for innovation across a wide range of domains including healthcare, robotics, autonomous systems, smart manufacturing, education, environmental monitoring, and security. At the same time, it raises fundamental research challenges related to trustworthiness, interpretability, and ethical considerations in the deployment of intelligent agents. This Special Issue aims to bring together original contributions that explore methodologies, theories, and applications at the intersection of multimodal sensing and LLM-based intelligence, with particular emphasis on advances in multimodal fusion strategies, contextual reasoning, adaptive dialogue systems, collaborative and immersive applications, as well as cross-disciplinary approaches that contribute to the development of next-generation multimodal artificial intelligence.
Prof. Dr. Chaoning Zhang
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- multimodal sensor fusion
- large language model (LLM) agents
- multimodal perception and reasoning
- contextual understanding
- adaptive dialogue systems
- human–machine interaction
- trustworthy and explainable AI
- robotics and autonomous systems
- healthcare and smart manufacturing
- cognitive intelligence and situational awareness
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
