Pushpendra S. Bharti
Papers
7
Total Citations
119
H-Index
4
About
Pushpendra S. Bharti is a leading researcher in autonomous robotics, specializing in path planning, obstacle avoidance, and nature-inspired swarm intelligence algorithms. His work addresses the critical challenge of enabling mobile robots to navigate complex, dynamic environments safely and efficiently. Bharti’s most impactful contribution is his 2021 paper on a modified slime mould swarm intelligence algorithm for robot navigation, which has garnered 89 citations—a testament to its influence in the field. He has also authored comprehensive surveys on evolutionary approaches for robot navigation, providing foundational knowledge for researchers and practitioners. Beyond navigation, Bharti explores cutting-edge applications like robotic arm 3D printing and the integration of convolutional neural networks for autonomous guidance in automated guided vehicles. His research on the acceptance of autonomous mobile robots in industries bridges technical innovation with real-world adoption. With over 100 total citations across his key works, Bharti’s contributions are shaping the future of intelligent, autonomous systems. His work is essential reading for anyone interested in the intersection of robotics, artificial intelligence, and swarm intelligence.
Research Focus
Key Achievements
Top Papers
- 1
- 2Nature inspired evolutionary approaches for robot navigation: Survey8 citations · 2020
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- 4Robotic Arm 3D Printing: Technological Advancements and Applications5 citations · 2024
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