Conference Information

ROSENET 2025: International Conference on Robotic Sensor Networks

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Submission Date:
2025-08-01
Notification Date:
2025-09-02
Conference Date:
2025-11-21
Location:
Copenhagen, Denmark
Years:
9
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Call For Papers

ROSENET 2025 (International Conference on Robotic Sensor Networks) is an academic conference held in Copenhagen, Denmark on 2025-11-21. The paper submission deadline is 2025-08-01. Acceptance notifications are sent on 2025-09-02.

Scope and Topics The central theme of the conference is “Intelligent and Autonomous Robotics for Manipulation in the Era of Edge AI and Embedded Intelligence.” As robots are moving from controlled environments into our daily lives, the ability to perform complex manipulation tasks in unstructured and dynamic environments has become a key challenge and opportunity. This conference aims to gather researchers and practitioners to explore how cutting-edge AI, embedded systems, and edge computing can empower robots to sense, plan, and act with dexterity and intelligence. Topics Core Themes: Intelligent manipulation and grasping in service and industrial robots AI-driven control and decision-making for robotic manipulation Edge AI for real-time perception and motion planning Sensor fusion and tactile sensing for manipulation tasks Hardware design and actuator technologies for dexterous robots Safety, reliability, and robustness in manipulation robots Highlighted Robot Applications: Surgical Robots: Precision manipulation in minimally invasive surgery Humanoid Robots: Dexterous hands and whole-body manipulation in human environments Haircutting Robots: Smart grooming with real-time perception and edge intelligence Legged Robots: Balancing and manipulation while navigating uneven terrain Cleaning Robots: Autonomous and adaptive manipulation for household chores Manufacturing Robots: Collaborative robots (cobots) for assembly and material handling Agricultural Robots: Delicate handling of crops and agricultural produce Broader Topics: Learning-based manipulation: imitation, reinforcement, and self-supervised methods Robotic manipulation in cluttered and uncertain environments Human-robot collaboration in manipulation tasks Vision and tactile feedback integration for adaptive grasping Embedded AI architectures for manipulation robots (low-power and real-time) Digital twins and simulation environments for training manipulation policies Benchmarking and evaluation metrics for manipulation performance We welcome both fundamental research and practical applications that push the boundaries of what robots can manipulate and how they can interact safely and effectively with the physical world.
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