Sushma S. Chandra

Manipal University Jaipur, Manipal Academy of Higher Education

Papers

Total Citations

H-Index

About

Sushma S. Chandra is a robotics researcher whose work focuses on autonomous systems for environmental cleanup, particularly in the domain of trash-collecting robots. Her primary research areas include computer vision, deep learning-based object detection, and robotic path planning. Chandra’s major contribution lies in the development of the OATCR (Outdoor Autonomous Trash-Collecting Robot), which integrates a Rocker-bogie suspension mechanism for rugged terrain navigation and employs YOLOv4-Tiny for efficient, real-time garbage detection. Her most cited paper (51 citations) demonstrates the practical application of comparing Mask-RCNN, YOLOv4, and YOLOv4-tiny models, ultimately selecting a lightweight architecture suitable for embedded systems. This work is notable for achieving full autonomy in outdoor trash collection, addressing a pressing environmental challenge. Additionally, her review papers (8 and 5 citations) synthesize existing approaches in path planning and object detection, providing a valuable resource for researchers entering this field. Chandra’s research has direct implications for smart city initiatives and sustainable waste management, showcasing how robotics and AI can automate mundane yet critical tasks. Her work continues to inspire new designs in autonomous cleaning systems, making her a notable contributor to the intersection of robotics and environmental engineering.