Jaime Duque Domingo
Papers
7
Total Citations
63
H-Index
4
About
Jaime Duque Domingo is a leading researcher at the intersection of social robotics, human-robot interaction (HRI), and neurorobotics. His work focuses on making robots more intuitive and responsive in real-world settings, particularly through advanced gaze control systems. His most-cited paper (19 citations) introduces a neurorobotic framework for multi-party interactions, enabling a robotic head to naturally decide whom to look at during conversations. He further refined this with LSTM networks (14 citations), improving the robot’s ability to predict and adapt attention in dynamic social environments. Beyond gaze, Duque Domingo has contributed to robot learning by demonstration, using visual recognition of gymnastic sequences (13 citations) to teach robots complex movements, and to collaborative robotics (cobots) by developing mixed-reality interfaces for safe trajectory planning (9 citations). His recent work explores behavior tree generation using large language models (3 citations) and fall detection for elderly care via ConvNeXt-YOLO integration (3 citations), underscoring his commitment to socially beneficial applications. With over 60 citations across his top works, Duque Domingo’s research is shaping the future of robots that can perceive, interact, and assist humans with unprecedented naturalness and safety.
Research Focus
Key Achievements
Top Papers
- 1Gaze Control of a Robotic Head for Realistic Interaction With Humans19 citations · 2020
- 2
- 3
- 4
- 5
- 6
- 7Optimization of a Robotics Gaze Control System2 citations · 2020