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About

Dharmaraj Veeramani is a leading researcher at the forefront of human-robot collaboration (HRC) in construction, with a specific focus on developing intuitive, wearable interfaces. His core research integrates sensor-based systems, computer vision, and context-aware computing to enable seamless interactions between construction workers and robotic machinery. Veeramani’s major contributions center on advancing hand gesture recognition as a primary communication channel for HRC. His seminal 2022 paper, "Wearable Sensors-Based Hand Gesture Recognition for Human–Robot Collaboration in Construction," has garnered 42 citations, establishing a foundational framework for the field. He further refined this work by incorporating gaze-awareness (33 citations) and contextual information (13 citations), demonstrating a progressive evolution toward more intelligent and adaptive interfaces. Notably, his 2024 paper on context-aware interaction highlights how understanding the construction environment can significantly improve robot responsiveness and worker safety. Veeramani’s research is pivotal in addressing the critical barrier of user-friendly interfaces, directly impacting the adoption and efficiency of construction robots. His work not only advances automation but also ensures that technology remains accessible and effective for human operators, marking him as a key innovator in intelligent construction systems.