Navid Panchi

Visvesvaraya National Institute of Technology

Papers

Total Citations

H-Index

About

Navid Panchi is a robotics researcher whose work sits at the intersection of autonomous systems, deep learning, and practical robot deployment. His research focuses on enabling robots to navigate complex real-world environments, with particular emphasis on autonomous mobility and intelligent control systems. Panchi's most notable contribution is his 2019 work on deep learning-based stair segmentation and behavioral cloning, which addresses one of the persistent challenges in mobile robotics — enabling robots to autonomously traverse staircases. This capability is critical for applications in urban search and rescue, military operations, and industrial surveillance. The paper has garnered 7 citations, reflecting its relevance to the growing field of autonomous navigation. His 2021 work on autonomous delivery robots further demonstrates his commitment to real-world robotic applications, exploring sensor integration and reliable autonomous operation across environments ranging from hospitals to military settings, accumulating 4 citations. Together, these contributions position Panchi as a researcher dedicated to bridging the gap between theoretical deep learning approaches and practical robotic implementation. His work is particularly valuable for students and engineers interested in applying computer vision and machine learning techniques to solve meaningful challenges in autonomous robot design and deployment.