Ravi Kumar Mandava
Indian Institute of Technology Bhubaneswar, Indian Institute of Information Technology Allahabad, Maulana Azad National Institute of Technology, Vignan's Foundation for Science, Technology & Research, Indian Institute of Information Technology Design and Manufacturing Jabalpur, Kurnool Medical College
Papers
33
Total Citations
386
H-Index
12
About
Ravi Kumar Mandava is a prominent robotics researcher whose work spans mobile robotics, biped locomotion, path planning, and intelligent control systems. He has made substantial contributions to the field of legged robotics, particularly in developing and optimizing control strategies for biped robots navigating complex terrains. His research on PID controller optimization — employing nature-inspired techniques such as the Modified Chaotic Invasive Weed Optimization (MCIWO) algorithm — has advanced the precision and stability of two-legged robotic walking across flat, sloped, and uneven surfaces, accumulating over 100 citations across related studies. Mandava has also pioneered path planning methodologies for both mobile and biped robots, integrating approaches like the Potential Field Method combined with PSO and the Fast Marching Method to enable reliable navigation in dynamic environments. His 2024 work on human-machine interaction, enabling real-time control of humanoid upper extremities through joint tracking, reflects his evolution toward human-robot collaboration. Complementing his experimental work, his widely cited review on biped gait generation across varied terrains serves as a valuable reference for the robotics community. With a consistent publication record and growing citation impact, Mandava represents a significant voice in autonomous robotics and intelligent systems research.
Research Focus
Key Achievements
Top Papers
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- 3A review on gait generation of the biped robot on various terrains32 citations · 2023
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- 8Design of PID controllers for 4-DOF planar and spatial manipulators20 citations · 2015
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