Saoni Banerji
Papers
2
Total Citations
8
H-Index
2
About
Saoni Banerji is a pioneering researcher at the intersection of robotics, neuromorphic engineering, and embodied intelligence. Her work addresses fundamental challenges in creating efficient, intelligent systems for tiny robots, particularly insect-sized autonomous machines. In her highly cited 2023 paper "How to measure embodied intelligence?" (6 citations), Banerji tackles a critical gap in robotics: the lack of universal metrics for quantifying embodied intelligence (EI). She proposes novel frameworks to measure how effectively physical design and control systems enable efficient environmental interaction, moving beyond descriptive treatments toward rigorous, quantifiable benchmarks. This contribution has significant implications for robot design and AI evaluation. Banerji also developed an "Efficient Analog Convolutional Neural Network Hardware Accelerator Enabled by a Novel Memoryless Architecture for Insect-Sized Robots" (2022, 2 citations), addressing the severe energy constraints that limit sensing and control in miniature robots. Her memoryless architecture enables real-time neural network processing on platforms with minimal power budgets, a breakthrough for ambient monitoring and search-and-rescue applications. Banerji’s work uniquely bridges theoretical metrics with practical hardware solutions, positioning her as a leading voice in creating intelligent, energy-efficient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1How to measure embodied intelligence?6 citations · 2023
- 2