Beschrijving van impact
Autonomous robots that coexist with people come with a unique challenge – safety for humans. Our research focuses on the algorithmic foundations of intelligent robotic systems in perception, planning, control, and learning to enable verifiably safe autonomy for robots sharing the same space with people and other robots.We actively engage in collaborative robotics research and education projects with academic and industrial partners, working towards our shared ambition of creating robots for the benefit of humanity, with a focus on meaningful societal and scientific impact.
Robotics and AI are globally recognized as powerful technologies to address future societal challenges, including growing labor shortages, challenging working conditions, and aging populations. Autonomous robots have the potential to assist individuals in reducing the need for strenuous human labor (e.g., in manufacturing, logistics, and agriculture) and improving living conditions (e.g., for the elderly and patients in healthcare and customers in service industries). This technological shift towards autonomous robots that coexist with people comes with a unique challenge – safety for humans. Our research focuses on the algorithmic foundations of intelligent robotic systems to address this unique challenge of safe autonomy for robots sharing the same space with people and other robots. Safe autonomous robot motion requires tightly coupled proactive (action-driven) perception and reactive (perception-driven) action that continuously adapts to changing operation conditions. Our research objective is to systematically integrate perception, control, planning, and learning to achieve verifiably safe robot autonomy in dynamic human environments. This involves ensuring physical, social, and contextual safety for humans in specific application scenarios such as safe autonomous navigation and mobile manipulation within healthcare centers, retail stores, and warehouses, which often involve interactions with people. In addition to our research on safe robot autonomy, we also conduct research on active perception in mobile robotic sensor networks for environmental and security monitoring. Broadly, our research interests include mobile robotics, motion planning, multi-robot systems, robot learning, and robot perception.
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