L Aiswarya

Indian Institute of Science Bangalore

Papers

1

Total Citations

3

H-Index

1

About

L Aiswarya is a robotics researcher whose work focuses on human-aware motion planning and human-robot collaboration within Industry 4.0 environments. Her most cited paper, "Human Aware Robot Motion Planning using RRT Algorithm in Industry4.0 Environment" (2021, 3 citations), introduces a novel application of the Rapidly exploring Random Tree (RRT) algorithm to design safe, efficient paths for robots in dynamic workspaces shared with humans. By modeling human activities as obstacles of varying densities, her research addresses critical challenges in collaborative search operations, enabling robots to adapt to unpredictable human behaviors while maintaining operational efficiency. This contribution is particularly significant for advancing autonomous systems in smart manufacturing and industrial automation. Aiswarya’s work bridges the gap between theoretical path planning and real-world human-robot interaction, offering practical solutions for safer, more intuitive collaborative environments. Her research continues to influence the development of adaptive robotic systems, making her a notable emerging voice in the field of robotics and automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Human Aware Robot Motion Planning using RRT Algorithm in Industry4.0 Environment
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Indian Institute of Science Bangalore

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago