DRAS 2026: The IEEE co-sponsored International Conference on Drones, Robotics and Autonomous Systems, 8 - 10 December, 2026 | San Antonio, USA.

[Apologies if you got multiple copies of this invitation]

The International Conference on Drones, Robotics and Autonomous Systems
(DRAS 2026)

https://emergingtechnet.org/DRAS2026/index.php

8 - 10 December, 2026 | San Antonio, USA.

Hybrid Event and Technically Co-Sponsored by IEEE Lone Star Section



*DRAS 2026 CFP:*

Drones, robotics, and Autonomous systems are transforming the way
industries, governments, and societies operate by enabling intelligent
automation, autonomous decision-making, and advanced remote operations.
These technologies integrate artificial intelligence, sensors, computer
vision, communication networks, and real-time data processing to perform
complex tasks with high efficiency and precision. From aerial drones used
in surveillance, agriculture, delivery services, and environmental
monitoring to robotic systems applied in healthcare, manufacturing,
logistics, and smart infrastructure, Autonomous technologies are becoming
essential components of modern digital transformation. As research and
innovation continue to evolve, drones and robotic systems are expected to
play a critical role in shaping future smart cities, defense systems,
disaster response, industrial automation, and next-generation intelligent
transportation systems. The International Conference on Drones, Robotics
and Autonomous Systems (DRAS 2026) invites researchers, academicians,
industry professionals, practitioners, and students from around the world
to submit original research papers, case studies, and innovative
applications in the rapidly evolving fields of drones, robotics, autonomous
systems, and intelligent Autonomous technologies. DRAS 2026 aims to provide
a premier interdisciplinary platform for presenting recent advances,
emerging trends, practical challenges, and future directions in Autonomous
systems and robotics technologies. The conference will foster collaboration
between academia, industry, government agencies, and technology innovators
working on next-generation autonomous and intelligent systems. The
conference welcomes high-quality contributions addressing theoretical
foundations, system architectures, algorithms, experimental studies,
prototypes, industrial deployments, and real-world applications related to
drones, robotics, and autonomous systems. We invite the submission of
original papers on all topics related to Intelligent Systems with special
interest in but not limited to:

·       Drones and Autonomous Systems

·       Robotics and Intelligent Systems

·       Artificial Intelligence for Autonomous Systems

·       Generative AI, Foundation Models, and Large Language Models

·       Computer Vision, Image and Video Processing for Autonomous Systems

·       Communication, Networks, and Cybersecurity for Autonomous Systems

·       Applications and Emerging Technologies

·       Computational Language and Human-Centered Systems

·       Sensors, Control, and Embedded Systems for Autonomous Systems

·       Multimodal LLMs Systems for Autonomous Systems

·       Agentic AI Systems for Autonomous Systems



*Submissions Guidelines and Proceedings*

Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11"
two-column format. All papers should be in PDF format, and submitted
electronically at Paper Submission Link. A full paper can be up to 8 pages
(including all figures, tables and references). Length of short papers can
be up to 6 pages. Submitted papers must present original unpublished
research that is not currently under review for any other conference or
journal. All submissions are peer-reviewed by at least three reviewers.
Accepted papers will appear in the conference Proceeding, and to be
submitted to IEEE Xplore for inclusion.

*Important Dates:*

   - *Paper submission deadline: 10 September 2026*
   - Notification of acceptance: 1 November 2026
   - Camera-ready Submission: 15 November 2026



*Contact:*



Please send any inquiry on DRAS to: [email protected]

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