Industrial Environment
Industrial environment research focuses on optimizing efficiency, safety, and sustainability within manufacturing and related settings. Current efforts concentrate on developing advanced robotics for collaborative tasks, leveraging AI for anomaly detection and predictive maintenance (employing models like CNNs, SVMs, and LLMs), and improving energy efficiency through techniques like few-shot learning. These advancements aim to enhance productivity, reduce human error and risk, and promote environmentally responsible industrial practices, impacting both scientific understanding and practical applications across various industries.
Papers
PRO-MIND: Proximity and Reactivity Optimisation of robot Motion to tune safety limits, human stress, and productivity in INDustrial settings
Marta Lagomarsino, Marta Lorenzini, Elena De Momi, Arash Ajoudani
Technical Report of Mobile Manipulator Robot for Industrial Environments
Erfan Amoozad Khalili, Kiarash Ghasemzadeh, Hossein Gohari, Mohammadreza Jafari, Matin Jamshidi, Mahdi Khaksar, AmirReza AkramiFard, Mana Hatamzadeh, Saba Sadeghi, Mohammad Hossein Moaiyeri