Archan Misra

About

Archan Misra is a leading researcher at the intersection of human-robot interaction, multi-modal sensing, and pervasive computing. His work focuses on enabling robots to understand ambiguous human instructions through natural gestures and real-time multi-modal comprehension—as demonstrated in his highly cited papers on M2Gestic and COSM2IC, which together have garnered over 20 citations. Misra has also made significant contributions to industrial IoT and indoor localization, pioneering unobtrusive vibration analysis for factory machinery using low-frame-rate cameras (8 citations) and developing LiLoc, a LiDAR-based system for precise 3D localization in dynamic indoor environments (10+ citations). His forward-looking research on privacy-respecting service robots addresses critical ethical challenges in autonomous systems. With a career spanning foundational work in mobile computing and context-aware systems, Misra’s research has been widely recognized for its practical impact on embodied AI and smart environments. His work consistently bridges the gap between theoretical advances and real-world deployment, making him a key figure in the evolution of intelligent, privacy-aware robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Gesture Enhanced Comprehension of Ambiguous Human-to-Robot Instructions

   11 citations · 2020
2. 2
   COSM2IC: Optimizing Real-Time Multi-Modal Instruction Comprehension

   9 citations · 2022
3. 3
   Analysing Multi-Point Multi-Frequency Machine Vibrations using Optical Sampling

   8 citations · 2018
4. 4
   LILOC: Leveraging LiDARs for Accurate 3D Localization in Dynamic Indoor Environments

   5 citations · 2024
5. 5
   LILOC: Enabling Precise 3D Localization in Dynamic Indoor Environments using LiDARs

   5 citations · 2023
6. 6
   Toward Privacy-Respecting Service Robots

   2 citations · 2025

Key Collaborators

Contact & Links