Jyotirmoy Karjee

Embedded Systems (United States), Tata Consultancy Services (India)

Papers

Total Citations

H-Index

About

Jyotirmoy Karjee is a researcher focused on the intersection of cloud robotics, multi-robot systems, and the Internet of Things (IoT). His work primarily addresses the critical communication challenges that arise when deploying large-scale, heterogeneous robots over wide geographical areas. Karjee’s major contributions lie in developing intelligent network solutions for these complex environments. He has proposed dynamic path selection algorithms for cloud-based multi-hop wireless networks, enabling more reliable robot-to-robot and robot-to-cloud communication. Additionally, his research on distributed cooperative communication and link prediction provides frameworks for overcoming the computational and connectivity constraints inherent in cloud robotics. Karjee has also explored self-adaptive networking for specialized applications like multi-robot warehouse communication, and developed methods for efficient data prediction and reconstruction in indoor IoT networks. His most cited works, including the 2019 paper on dynamic path selection (11 citations) and the 2017 paper on distributed communication (10 citations), have laid important groundwork for more robust and autonomous robotic systems. Through his research, Karjee is helping to build the foundational communication infrastructure needed for the next generation of collaborative, cloud-connected robots.