Anima Sharma

Centre for Artificial Intelligence and Robotics

Papers

Total Citations

H-Index

About

Anima Sharma is a robotics researcher whose work centers on autonomous systems and computer vision, with a particular focus on enabling intelligent navigation in indoor environments. Her most notable contribution, "Visual Object Detection for an Autonomous Indoor Robotic System" (2018), addresses a fundamental challenge in robotics: how machines can reliably perceive and interact with their surroundings without external guidance. This work has laid groundwork for practical applications in service robotics, warehouse automation, and assistive technologies. While her research is still in its early stages, with 2 citations to her key paper, Sharma's approach demonstrates a clear understanding of the intersection between real-time visual processing and robust robotic control. Her contributions are particularly relevant for students and researchers exploring embedded vision systems, sensor fusion, and the deployment of AI in constrained physical spaces. As the field of indoor robotics continues to grow, Sharma's foundational work offers a stepping stone for future innovations in autonomous navigation and object interaction.