Papers

1

Total Citations

266

H-Index

1

About

Deep Kishore Parsediya is a leading researcher in robotics and artificial intelligence, with a primary focus on intelligent path planning and autonomous navigation systems. His most influential contribution is the development of a time-efficient A* algorithm for robot path planning, published in 2016, which has garnered 266 citations. This work addresses critical challenges in industrial automation by optimizing robot movement in complex environments, significantly improving speed and accuracy for tasks such as material handling and object transportation. Parsediya’s research bridges theoretical algorithms with practical applications, enabling robots to replace human labor in demanding industrial settings while enhancing operational efficiency. His contributions are widely recognized in the fields of automation and robotics, where his algorithm serves as a foundational tool for modern autonomous systems. Beyond this landmark paper, Parsediya continues to explore advancements in multi-robot coordination and real-time navigation, solidifying his reputation as a key innovator in the intersection of AI and industrial robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
266
Total Citations
266
Avg Citations/Paper
🏆 Most Cited Paper
Time-efficient A* Algorithm for Robot Path Planning
266 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Atal Bihari Vajpayee Indian Institute of Information Technology and Management

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago