October 24, 2025 @ Hangzhou, China
IEEE/RSJ International Conference on Intelligent Robots and Systems
Submission deadline is extended to September 4, 2025, 11:59 AoE
Edge AI Technologies meets Robotics Applications
Edge AI enables AI models to run directly on local devices, bringing computation closer to data sources for faster, more efficient decision-making. As robots take on increasingly critical tasks, the need for edge AI grows urgent to enable fast, robust, and privacy-aware processing. However, integrating edge AI into robotics presents significant challenges that the robotics community cannot tackle alone. To address these challenges, the EdgeAI4R workshop aims to bring together researchers from robotics, machine learning, computer engineering, and circuit design to explore the unique opportunities that will drive the widespread adoption of edge AI in robotics. The primary objective of this workshop is to create a collaborative platform where experts from diverse fields can jointly advance the integration of edge AI for robotics. By combining the application-driven insights from robotics with innovative technology solutions from disciplines such as circuit design, machine learning, and computer engineering, the workshop aims to unlock unique opportunities to adopt edge AI in robotics, where it is critical. Participants will explore the latest edge AI applications in robotics and examine emerging technologies that address the challenges of real-world deployments. Moreover, the workshop will identify critical issues, such as resource constraints, security vulnerabilities, communication challenges, robustness, and adaptability, and outline promising interdisciplinary research directions to overcome these hurdles.
In particular, the objectives of the EdgeAI4R workshop are to:
Introduce and identify key advantages and challenges associated with deploying edge AI in robotics applications through talks and panel discussions from researchers and experts applying edge AI to critical robotics applications (e.g., autonomous drones and boats) and developing edge AI technologies (e.g., efficient deep learning algorithms, FPGAs, and AI accelerators).
Shape future research directions and spark new collaborations through interdisciplinary contributed spotlight talks, posters, and demos by distinguished experts, rising stars, and students from academia and industry.
Invited Speakers
Professor of Electronics and IC Design
 Hamad Bin Khalifa University
Professor of Robotics and Perception
University of Zurich
General Manager
OceanAlpha
Senior Deep Learning Algorithm Engineer
Nvidia
Research Assistant Professor
Tsinghua University
Organizing Committee
Assistant Professor
Maastricht University
Senior Research Scientist
Procter & Gamble
Assistant Professor
Hamad Bin Khalifa University
Assistant Professor
Leiden University
Postdoctoral Research Scholar
Harvard University
Attending EdgeAI4R Workshop and IROS 2025
Hangzhou International Expo Center, Hangzhou, China
Register for IROS 2025 to attend!
Please contact guangzhi.tang@maastrichtuniversity.nl for questions.
Sponsored by