Jani Boutellier

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About

Jani Boutellier is a leading researcher in signal processing and embedded systems, with a particular focus on millimeter-wave sensing and human-robot interaction. His most influential work, "Tracking the Occluded Indoor Target With Scattered Millimeter Wave Signal" (2024, 5 citations), addresses a critical safety challenge in industrial robotics: detecting and tracking humans in nonline-of-sight (NLoS) environments, such as around corners. This contribution is vital for preventing collisions between mobile robots and people in factories, warehouses, and hospitals. Boutellier’s research bridges the gap between advanced signal processing algorithms and practical embedded implementation, enabling real-time, low-latency sensing on resource-constrained devices. His work has been recognized for its potential to enhance autonomous system safety in cluttered, dynamic indoor spaces. By developing methods that leverage scattered millimeter-wave signals for occluded target tracking, Boutellier is paving the way for more reliable and human-aware robotic systems. His ongoing contributions continue to shape the fields of embedded signal processing and intelligent sensing, making him a key figure in the evolution of safe human-robot collaboration.