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.