Papers
7
Total Citations
65
H-Index
3
About
Nisha Pillai is a versatile robotics and AI researcher whose work spans security, natural language understanding, and autonomous navigation. She has established herself as a leading voice in AI-robotics security, most notably through her widely cited 2024 survey "Security Considerations in AI-Robotics," which has garnered 48 citations and stands as a key reference for researchers examining vulnerabilities in intelligent robotic systems. Complementing this, her survey on privacy attacks against Digital Twin systems addresses emerging threats at the intersection of Industry 4.0, AI/ML, and robotics—a timely contribution as these technologies proliferate in industrial settings. Pillai's earlier research demonstrates a strong foundation in grounded language acquisition, exploring how robots learn language tied to their physical environments. Her investigations into language-agnostic learning systems, active learning strategies, and optimal negative example selection reflect a nuanced understanding of human-robot interaction challenges. More recently, she has extended her interests to autonomous navigation with her uncertainty-aware path planning work for off-road environments, tackling real-world perception challenges facing mobile robots. Across her career, Pillai has accumulated over 60 citations, contributing meaningfully to multiple subfields and positioning herself as a researcher bridging the critical gap between robot capability and trustworthy, secure deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics4 citations · 2024
- 3Building Language-Agnostic Grounded Language Learning Systems4 citations · 2019
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