Puneet K. Singhal
Papers
1
Total Citations
7
H-Index
1
About
Puneet K. Singhal is a robotics researcher whose work focuses on learning-based approaches for robot behavior sequencing and visual navigation. His most-cited paper, "Learning to Sequence Robot Behaviors for Visual Navigation" (2018, 7 citations), addresses a critical challenge in robotics: how to effectively select and sequence high-level robot behaviors to accomplish complex tasks. Rather than relying on low-level control details, Singhal’s approach abstracts behaviors, enabling robots to navigate visually guided environments more intelligently. This contribution is particularly relevant as the robotics community increasingly turns to hierarchical learning frameworks. While his citation count is modest, Singhal’s work represents a foundational step in bridging behavior learning with practical navigation, offering insights that could influence future research in autonomous systems and human-robot interaction. His research underscores the importance of task decomposition and behavioral planning in robotics, making him a promising voice in the field.
Research Focus
Key Achievements
Top Papers
- 1Learning to Sequence Robot Behaviors for Visual Navigation7 citations · 2018