E. Frankel
Papers
1
Total Citations
117
H-Index
1
About
E. Frankel is a leading researcher in embodied AI and robot perception, with a focus on how machines understand humans in real-world, built environments. Their most cited work, the JRDB dataset and benchmark (2021, 117 citations), represents a landmark contribution to egocentric robot vision. By collecting 64 minutes of annotated, multimodal sensor data—including stereo cylindrical 360° RGB video—from their social mobile manipulator JackRabbot, Frankel provided the research community with a uniquely challenging and ecologically valid testbed. This dataset enables the study of human detection, tracking, and activity recognition from a robot's first-person perspective, directly addressing the gap between controlled lab settings and the messy, dynamic nature of human-populated spaces. Frankel's work is instrumental in advancing socially-aware navigation and human-robot interaction, setting a new standard for benchmarking perception algorithms. Their contributions are foundational for any researcher aiming to build robots that can safely and intelligently operate alongside people in homes, offices, and public spaces.
Research Focus
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Top Papers
- 1