Divneet Singh Kapoor

Chandigarh University

Papers

13

Total Citations

197

H-Index

7

About

Divneet Singh Kapoor is a dynamic robotics and artificial intelligence researcher whose work sits at the intersection of autonomous navigation, human-robot interaction, and intelligent sensing systems. His research primarily focuses on enabling mobile and service robots to operate safely and efficiently within human-populated environments — a challenge that grows increasingly critical as Industry 5.0 pushes toward deeper collaboration between humans and machines. Kapoor's most impactful contributions include real-time computer vision-based object detection for indoor robot navigation (40 citations) and socially aware navigation frameworks that ensure robots respect human comfort and safety conventions (collectively exceeding 60 citations across multiple works). His development of an Adaptive Flower Pollination Algorithm for energy-efficient multi-robot routing (30 citations) demonstrates a strong command of bio-inspired optimization techniques applied to practical robotics challenges. He has also explored LoRaWAN communication protocols for IoT deployments in challenging forest environments (24 citations) and advanced Active SLAM methodologies for simultaneous mapping and navigation in social spaces. Beyond robotics, Kapoor has broadened his scope into agricultural IoT applications, reflecting a versatile research vision. With over 180 cumulative citations and a consistently productive publication record since 2020, he represents an emerging voice shaping the future of intelligent, socially conscious autonomous systems.

Research Focus

Key Achievements

7
H-Index
13
Papers
197
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Computer-Vision Based Object Detection and Recognition for Service Robot in Indoor Environment
40 citations · 2022
📈 Most Prolific Year: 2022 (5 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Chandigarh University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago