Aman Jain

Visvesvaraya National Institute of Technology, University of Minnesota System

Papers

Total Citations

H-Index

About

Aman Jain is a robotics and artificial intelligence researcher whose work spans autonomous systems, deep learning, and human-robot interaction. His research focuses on enabling robots to navigate complex real-world environments, with particular emphasis on autonomous mobility and intelligent decision-making. Jain's most notable contribution is his 2019 work on deep learning-based stair segmentation and behavioral cloning, which addresses a critical challenge in mobile robotics — enabling autonomous robots to traverse stairs for applications in urban search and rescue, surveillance, and military operations. This paper, his most cited work with 7 citations, demonstrates his ability to bridge advanced machine learning techniques with practical robotic challenges. His 2021 research on autonomous delivery robots further showcases his commitment to real-world applications, exploring sensor integration and reliable autonomous navigation in dynamic environments like hospitals and industrial settings. His earlier foundational work on knowledge representation systems for assembly robots highlights a longstanding interest in improving human-machine interfaces and intelligent robotic control. Together, these contributions reflect a research trajectory spanning decades, consistently aimed at making robots more capable, adaptable, and practical. Jain's work offers valuable insights for students and researchers exploring the intersection of deep learning, autonomous navigation, and applied robotics.