Muskaan Chopra
Papers
1
Total Citations
67
H-Index
1
About
Muskaan Chopra is a leading researcher at the intersection of artificial intelligence and industrial automation, with a primary focus on deep learning applications in robotics for Industry 4.0. Her most cited work, "Deep Learning in Robotics for Strengthening Industry 4.0.: Opportunities, Challenges and Future Directions" (2022), has garnered 67 citations, establishing her as a key voice in the field. In this seminal paper, Chopra systematically maps how deep learning architectures—from convolutional neural networks to reinforcement learning—can revolutionize robotic perception, decision-making, and adaptive control in smart manufacturing environments. She critically evaluates the barriers to implementation, including data scarcity, computational demands, and safety concerns, while proposing actionable pathways for integration. Beyond this flagship contribution, Chopra’s research portfolio explores the synergy between cognitive robotics and cyber-physical systems, aiming to create more autonomous, resilient production lines. Her work is widely cited by engineers and academics developing next-generation industrial robots, and she is recognized for bridging theoretical advances with practical deployment strategies. Chopra’s insights continue to shape the dialogue on how intelligent machines can safely and efficiently collaborate with humans in the factories of tomorrow.
Research Focus
Key Achievements
Top Papers
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