Pradumn Mishra
Papers
3
Total Citations
59
H-Index
3
About
Pradumn Mishra is a robotics researcher whose work lies at the intersection of autonomous systems, humanoid robotics, and generative artificial intelligence. His most significant contribution is the design and development of a complete software stack for an autonomous vehicle using the Robot Operating System (ROS), a foundational paper that has garnered 29 citations and serves as a practical guide for integrating perception, planning, and control modules. Mishra has also pioneered the use of Generative Adversarial Networks (GANs) for footstep planning in humanoid robots, demonstrating how deep learning can generate stable, adaptive gaits in ROS environments—a work cited 19 times. His recent research extends generative AI to wheeled robot path planning, achieving 11 citations and showcasing novel approaches to navigation. Beyond these papers, Mishra’s work is notable for bridging classical robotics frameworks with cutting-edge AI, making complex systems more accessible to students and researchers. His contributions are particularly impactful in advancing autonomous navigation and humanoid locomotion, with a growing citation record that underscores his influence in the robotics community.
Research Focus
Key Achievements
Top Papers
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