Papers
4
Total Citations
66
H-Index
3
About
Julie Dumora’s research lies at the intersection of human-robot interaction, haptic communication, and collaborative manipulation, with a strong focus on enabling seamless physical cooperation between humans and robots. Her major contributions include developing a taxonomy of robotic assistance for shared object manipulation and designing methods that allow robots to interpret human haptic cues to select appropriate support actions in real time. Her 2012 paper on haptic communication in shared human-robot tasks, with 39 citations, is a foundational work in understanding non-verbal cues during collaboration. She further advanced this in her 2013 study on robot assistance selection for large object manipulation, which demonstrated how a robot’s library of assistances can adapt to a priori unknown tasks. Dumora also applied her expertise to industrial settings, as seen in her 2015 case study on tank cleaning, where participative simulations helped design safer human-robot workstations. Her doctoral thesis (2014) synthesized these contributions, emphasizing the complementary strengths of human cognition and robot physicality. Dumora’s work has been instrumental in shaping how robots can intuitively assist humans in complex, real-world tasks, making her a key figure in collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robot Assistance Selection for Large Object Manipulation with a Human18 citations · 2013
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