Papers
6
Total Citations
313
H-Index
6
About
Dizan Vasquez is a leading researcher in mobile robotics, specializing in human-aware navigation and social robot motion. His work focuses on enabling robots to operate safely and naturally in human-populated environments, particularly urban pedestrian spaces. Vasquez is best known for pioneering the application of Inverse Reinforcement Learning (IRL) to robot navigation, as demonstrated in his highly cited 2014 paper (167 citations), which systematically compared IRL algorithms for modeling social interactions and reproducing pedestrian behavior. He made foundational contributions to human motion prediction, developing novel planning-based algorithms that anticipate people's movements by assuming they optimize cost functions (2016, 31 citations). Vasquez also led the autonomous navigation system for the European URUS project, achieving over 3.5 km of fully autonomous operation in real urban environments with Segway-based service robots (2011, 51 citations). His research on human-aware navigation for assistive robotics (2013, 35 citations) and intentional motion learning (2006) has shaped how robots understand and predict human intent. With a career spanning over a decade, Vasquez's work bridges machine learning, planning, and social robotics, making him a key figure in developing robots that can coexist with people in crowded, dynamic spaces.
Research Focus
Key Achievements
Top Papers
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- 3Human Aware Navigation for Assistive Robotics35 citations · 2013
- 4Novel planning-based algorithms for human motion prediction31 citations · 2016
- 5Intentional Motion Online Learning and Prediction15 citations · 2006
- 6Autonomous navigation for urban service mobile robots14 citations · 2010