Priya Kasimbeg
Papers
2
Total Citations
15
H-Index
2
About
Priya Kasimbeg is a robotics researcher whose work centers on interactive navigation—a critical area where robots must not only move through spaces but also physically interact with objects to accomplish tasks. Her major contribution is the creation of the Interactive Gibson Benchmark, introduced in 2019, which stands as the first comprehensive benchmark for training and evaluating these strategies. This benchmark allows robots to learn when and how to push, pull, or move obstacles in cluttered environments, moving beyond traditional “go-around” navigation toward more adaptive, human-like behavior. Her papers on this topic have garnered a combined 15 citations, establishing a foundation for subsequent work in embodied AI and manipulation-aware navigation. Notably, her benchmark addresses a key gap in robotics: enabling robots to handle real-world clutter by treating objects not as static barriers but as dynamic elements that can be rearranged. This work has implications for service robots, warehouse automation, and assistive technologies, where physical interaction is often necessary. Kasimbeg’s research thus bridges perception, planning, and control, offering a standardized testbed that continues to influence how researchers approach robot autonomy in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2