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https://dspace.iiti.ac.in/handle/123456789/17534
| Title: | PromptPilot: Controlling UAVs Using Multimodal AI |
| Authors: | Balaji, Tarun Vineet, Sunku Kanhangad, Vivek |
| Keywords: | Autonomous UAV;LLM;Multimodal Large Action Model;Object Tracking;VLM |
| Issue Date: | 2025 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | Singh, S., Saini, V., Shevtsov, M., & Jha, H. C. (2025). Microbiome-modulated molecular chaperones: Gut-brain control of proteostasis and neurodegenerative risk. In Adv. Protein Chem. Struct. Biol. Academic Press Inc. Scopus. https://doi.org/10.1016/bs.apcsb.2025.11.005 |
| Abstract: | The integration of Artificial Intelligence (AI) in drone technology has been proven to have a wide range of applications in the logistics, agriculture, construction, security, and military sectors. Furthermore, rapid advancements in large language models and their effectiveness in recent years have been of particular interest in human-robot interaction. Building on these innovations, we present PromptPilot - a multimodal Large Action Model (mLAM) that enables users to interact with drones to execute complex vision-based tasks such as dynamic object tracking using everyday language. We also develop a drone feed classifier that identifies the required modalities of a prompt with a precision of 97.58%, demonstrating strong performance in understanding and executing user queries autonomously. © 2025 IEEE. |
| URI: | https://dx.doi.org/10.1109/ETAAV66793.2025.11213101 https://dspace.iiti.ac.in:8080/jspui/handle/123456789/17534 |
| ISBN: | 979-8331598259 |
| Type of Material: | Conference Paper |
| Appears in Collections: | Department of Electrical Engineering |
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