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About

Loreto Susperregi is a robotics researcher whose work spans human–robot collaboration, computer vision, autonomous inspection systems, and intelligent sensing — fields that sit at the heart of next-generation industrial automation. Perhaps most recognized for contributions to safe and natural human–robot interaction, Susperregi's 2017 paper on human–robot collaboration in industrial applications has amassed over 210 citations, establishing it as a key reference for researchers developing collaborative factory environments. Complementing this, work on natural multimodal communication (90 citations) introduced semantic fusion of multiple interaction mechanisms — gesture, speech, and context — to make industrial robots more intuitive and dependable partners for human workers. Susperregi has also made significant strides in agricultural robotics, with a highly cited benchmarking study (118 citations) evaluating deep learning strategies for autonomous pest detection in greenhouse crops — a contribution with clear implications for sustainable food production. Beyond collaboration and agriculture, Susperregi pioneered multi-sensor fusion techniques combining RGB-D, laser, and thermal sensors to enhance people detection in mobile robots, supporting applications from populated public spaces to hazardous industrial plant inspection. The MAINBOT project further demonstrated practical deployment of autonomous robots for maintenance in large-scale industrial facilities. Across more than 600 cumulative citations, Susperregi's research consistently bridges theoretical innovation with real-world robotic deployment.