Hugo Alexandre Dantas do Nascimento
Papers
2
Total Citations
79
H-Index
2
About
Hugo Alexandre Dantas do Nascimento is a leading researcher in human-robot interaction (HRI), with a focused expertise in collision avoidance systems that enable safe, contact-free coexistence between humans and robots. His major contributions center on integrating 3D depth camera sensors, such as the Microsoft Kinect, with robot model data to overcome critical occlusion challenges—where a robot becomes hidden from view. By fusing real-time vision data with the robot’s internal kinematic model, Nascimento’s work ensures reliable collision avoidance even when the robot is partially or fully obscured, a breakthrough for dynamic shared spaces. His two most-cited papers, published in 2020, have garnered 46 and 33 citations respectively, reflecting the field’s strong interest in practical, sensor-fusion solutions for safe HRI. Notably, his research directly addresses real-world industrial and service robotics scenarios, where hidden robots pose significant safety risks. Nascimento’s achievements include advancing the robustness of vision-based HRI systems, making him a key figure in developing intuitive, non-contact interaction protocols that prioritize human safety without sacrificing robot autonomy.
Research Focus
Key Achievements
Top Papers
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