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David Hernandez-Carmona is a pioneering researcher at the intersection of neurorobotics, brain-machine interfaces (BMI), and industrial automation. His most influential work, "Towards Intelligent Brain-Controlled Body Augmentation Robotic Limbs" (2018, 26 citations), introduces Supernumerary Robotic Limbs (SRLs) — wearable robotic appendages that extend human physical capabilities. By exploring control methods from manual joystick operation to myoelectric signals, Hernandez-Carmona lays the groundwork for a future where humans can seamlessly command extra limbs with their thoughts, dramatically enhancing productivity and rehabilitation. In parallel, he has advanced industrial safety through computer vision. His 2019 paper on a mobile robot for analog gauge inspection (4 citations) addresses the critical need to remove workers from hazardous environments. By developing autonomous inspection systems, he reduces the risk of industrial accidents in capital-intensive plants. Hernandez-Carmona also pushes the boundaries of BMI with deep learning. His 2019 work on image reconstruction from brain data during object-grasping tasks (3 citations) tackles the low-throughput bottleneck of neural decoding, aiming to enable robotic arms to achieve diverse, dexterous grasp configurations. With over 36 total citations across these key contributions, Hernandez-Carmona is shaping a future where humans and intelligent machines collaborate seamlessly — from augmenting our bodies to safeguarding our workplaces.