Sergi Molina Mellado
Papers
3
Total Citations
111
H-Index
2
About
Sergi Molina Mellado is a robotics researcher whose work focuses on autonomous mobile robots, pedestrian behavior modeling, and human-aware motion planning. His most significant contribution lies in advancing pedestrian trajectory prediction for service robots operating in real-world human environments. Rather than relying on conventional 2D image-based approaches using monocular cameras, Molina Mellado pioneered a 3DOF trajectory prediction methodology that leverages range-finder sensors to capture richer spatial and orientation data — a meaningful step forward in robot perception and safety. His 2018 paper on this topic has garnered over 104 citations, reflecting its strong influence within the robotics and autonomous systems community. Complementing this work, Molina Mellado has also explored spatiotemporal modeling for motion planning, introducing representations such as the temporary warp space-hypertime continuum to enable robots to navigate more naturally and effectively alongside humans over time. His research is particularly notable for being grounded in long-term real-world deployment data, lending practical credibility to his methods. Overall, his contributions represent important advances in building autonomous robots that can operate safely, predictably, and helpfully in everyday human-populated spaces.
Research Focus
Key Achievements
Top Papers
- 1
- 23DOF Pedestrian Trajectory Prediction Learned from Long-Term Autonomous Mobile Robot Deployment Data5 citations · 2017
- 3