Max Robotics — Global Service Robot Directory + US Certification

About

Carlos Torre-Ferrero is a leading researcher in the field of industrial robotics, with a primary focus on safe human-robot collaboration and intelligent manufacturing systems. His most impactful work, "Working Together: A Review on Safe Human-Robot Collaboration in Industrial Environments" (2017), has garnered 567 citations, establishing him as a key voice in the transition toward Industry 4.0 and flexible, smart factories. Torre-Ferrero has made significant contributions to sensor fusion for active security, developing methods that integrate CCD and time-of-flight cameras to detect proximity between robots and humans in industrial settings. His technical expertise extends to ultrasonic sensing, where he has advanced the accurate estimation of time-of-flight for overlapping echoes, improving object recognition and navigation in structured environments. More recently, his 2025 work on guided reinforcement learning for rotary flexible-link systems demonstrates his ongoing innovation in combining classical control with modern AI techniques. Through his research, Torre-Ferrero has consistently addressed the critical challenge of enabling safe, efficient collaboration between humans and robots, making his work essential reading for engineers and researchers shaping the future of manufacturing.