Prem Kumar Patchaikani
Indian Institute of Technology Kanpur, General Electric (India)
Papers
4
Total Citations
110
H-Index
4
About
Prem Kumar Patchaikani is a leading researcher at the intersection of intelligent control, robotics, and adaptive systems. His work focuses on developing advanced algorithms that enable robots—from manipulators to quadrotors—to autonomously learn their own kinematics and dynamics from data, bypassing traditional model-based approaches. A standout contribution is his pioneering use of adaptive critic and policy iteration frameworks for real-time redundancy resolution in robot manipulators, as detailed in his highly cited 2011 paper (63 citations). This work, alongside his 2015 study on near-optimal controllers for nonlinear systems with unknown dynamics (23 citations), has significantly advanced the field of data-driven optimal control. Patchaikani’s impact is further solidified by his 2020 book, *Intelligent Control of Robotic Systems* (19 citations), which serves as a comprehensive guide to building smart, learning-capable robots. His research not only pushes theoretical boundaries but also demonstrates practical applications, such as using Microsoft Kinect for grasp identification in novel objects, showcasing his commitment to bridging simulation and real-world robotic autonomy.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Intelligent Control of Robotic Systems19 citations · 2020
- 4Grasping Region Identification in Novel Objects Using Microsoft Kinect5 citations · 2012