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About

Kiran Jot Singh is an emerging researcher whose work sits at the dynamic intersection of robotics, computer vision, and human-robot interaction. His research primarily focuses on autonomous mobile robot navigation in human-populated environments, social robotics, and intelligent systems for Industry 5.0 — an area where seamless collaboration between humans and machines is paramount. Singh's most impactful contribution, a 2022 study on computer vision-based object detection for indoor service robots, has garnered 40 citations and demonstrates his commitment to building practical, real-world robotic solutions. Complementing this, his investigations into socially aware robot navigation — spanning multiple publications — address the nuanced challenge of ensuring robots move safely and comfortably around people while respecting social conventions. His 2021 work on an Adaptive Flower Pollination Algorithm for energy-efficient multi-robot routing (30 citations) highlights his technical versatility, extending into optimization and communication protocols. Beyond robotics, Singh has explored IoT applications in forest environments and agriculture, reflecting a broader interest in intelligent connected systems. With over 180 cumulative citations across his top works and a consistent publication record from 2020 to 2023, Singh is establishing himself as a thoughtful voice in the socially intelligent robotics space, with research highly relevant to students pursuing autonomous systems and human-centered AI.