Asset Details
Do you wish to reserve the book?
Multimodal Agent AI: A Survey of Recent Advances and Future Directions
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Multimodal Agent AI: A Survey of Recent Advances and Future Directions
Do you wish to request the book?
Multimodal Agent AI: A Survey of Recent Advances and Future Directions
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Multimodal Agent AI: A Survey of Recent Advances and Future Directions
2025
Overview
In recent years, multimodal agent AI (MAA) has emerged as a pivotal area of research, holding promise for transforming human-machine interaction. Agent AI systems, capable of perceiving and responding to inputs from multiple modalities (e.g., language, vision, audio), have demonstrated remarkable progress in understanding complex environments and executing intricate tasks. This survey comprehensively reviews the state-of-the-art developments in MAA and examines its fundamental concepts, key techniques, and applications across diverse domains. We first introduce the basics of agent AI and its multimodal interaction capabilities. We then delve into the core technologies that enable agents to perform task planning, decision-making, and multi-sensory fusion. Furthermore, we focus on exploring various applications of MAA in robotics, healthcare, gaming, and beyond. Additionally, we mainly focus on analyzing the challenges and limitations of current systems and propose promising research directions for future improvements, including human-AI collaboration, online learning method improvement. By reviewing existing work and highlighting open questions, this survey aims to provide a comprehensive roadmap for researchers and practitioners in the field of MAA.
Publisher
Springer Nature Singapore,Springer Nature B.V
