Alisha Menon

Papers

Total Citations

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About

Alisha Menon is a rising leader in assistive robotics and brain-inspired computing, whose work bridges the gap between intelligent machine behavior and human intent. Her primary research focuses on hyperdimensional computing (HDC) for real-time robot navigation and shared human-robot control. In her most-cited work (2022, 11 citations), Menon demonstrated how HDC—a paradigm that uses pseudo-random hypervectors for robust, hardware-efficient learning—can enable behavioral prioritization in reactive robot navigation, allowing robots to make split-second decisions in dynamic environments. Building on this, her 2023 paper (7 citations) introduced a user-adaptive shared control scheme for assistive robots, where HDC predicts user intent and recalls appropriate reactive behaviors to adjust autonomy levels seamlessly. This work is particularly impactful for developing assistive devices that adapt to individual users' needs, enhancing safety and usability. Though early in her career, Menon’s integration of brain-inspired computing with practical robotics has already garnered attention for its potential to create more intuitive, responsive assistive technologies. Her research promises to empower individuals with disabilities through smarter, more collaborative robotic systems.