Stavya Datta
Papers
1
Total Citations
4
H-Index
1
About
Stavya Datta is a robotics researcher advancing autonomous systems through novel datasets and perception algorithms. Their primary research areas include panoptic segmentation, multi-sensor fusion, and human-aware robot navigation in crowded environments. Datta’s most notable contribution is the creation of JRDB-PanoTrack, an open-world panoptic segmentation and tracking dataset designed for robotic systems operating in dense, unstructured human spaces. This dataset addresses a critical gap in robotics by providing multi-sensor visual data that enables robots to simultaneously recognize, segment, and track objects and people in real-world scenarios—a foundational capability for safe human-robot interaction and autonomous decision-making. Though recently published in 2024, the work has already garnered early citations, signaling its growing influence in the robotics community. Datta’s research directly tackles the challenge of environment understanding for robots, bridging the gap between controlled lab settings and complex, real-world deployments. Their work is essential reading for students and researchers developing perception systems for service robots, autonomous navigation, and collaborative human-robot teams.
Research Focus
Key Achievements
Top Papers
- 1