Papers
6
Total Citations
70
H-Index
4
About
Justin Dauwels is a leading researcher at the intersection of human-robot interaction and autonomous systems, with a particular focus on how robots perceive, communicate, and collaborate with humans. His major contributions span two key areas: social robotics and autonomous vehicle perception. In social robotics, Dauwels has pioneered the use of humanoid robots as social mediators in two-person conversations, developing real-time sociofeedback systems that quantify speech mannerisms and social behavior—work that has garnered over 60 citations and laid groundwork for robots in corporate workplaces. His 2018 study on Nadine the humanoid robot as a social mediator (25 citations) and subsequent exploration of humanoid co-workers represent some of the first empirical investigations into robots as collaborative team members. In autonomous vehicles, Dauwels addresses critical challenges in robust decision-making under sensing and perception errors, proposing algorithms for dynamic object removal and point cloud reconstruction. His work bridges the gap between social intelligence and technical reliability, making him a distinctive voice in robotics. Dauwels’ research is notable for its human-centered approach, combining rigorous experimentation with real-world deployment scenarios, and continues to influence how robots are designed for both social and operational roles.
Research Focus
Key Achievements
Top Papers
- 1
- 2Humanoid co-workers: How is it like to work with a robot?20 citations · 2019
- 3Perception of humanoid social mediator in two-person dialogs14 citations · 2014
- 4
- 5A Dynamic Object Removal and Reconstruction Algorithm for Point Clouds3 citations · 2023
- 6Humanoid co-workers: How is it like to work with a robot?2 citations · 2019