Isha Batra

CMR University, Lovely Professional University

Papers

Total Citations

H-Index

About

Dr. Isha Batra is a rising computer vision researcher whose work sits at the critical intersection of 3D perception and human-robot interaction. Her research primarily addresses two fundamental challenges: the occlusion problem in 3D object detection and the enhancement of human-robot collaboration through activity recognition. Her most-cited paper, "Occlusion Problem in 3D Object Detection: A Review" (2022, 7 citations), provides a comprehensive taxonomy of occlusion challenges that has become a foundational reference for researchers tackling this persistent bottleneck in autonomous systems. In her subsequent work, "Activity Recognition in Video Frames for Enhancing Human-Robot Collaboration: A Machine Learning Perspective" (2023, 6 citations), Dr. Batra demonstrates how machine learning can decode human actions from video to enable safer, more intuitive human-robot teamwork. This work bridges the gap between high-level activity recognition and practical robotic applications in security monitoring, healthcare, and human-computer interaction. Though early in her career, Dr. Batra’s focused contributions are already shaping how autonomous systems perceive and respond to their environments, establishing her as a promising voice in the field.