Papers
6
Total Citations
157
H-Index
5
About
Parveen Kalra is a distinguished researcher in robotics, with a career spanning over three decades and a focus on solving complex kinematic and dynamic challenges in industrial automation. Her primary research areas include robot inverse kinematics, optimization of manufacturing processes, and the dynamic analysis of flexible manipulators. Kalra’s most significant contribution is her pioneering work on multimodal inverse kinematics, where she developed an evolutionary approach using real-coded genetic algorithms to resolve the transcendental equations that plague robotic manipulators—a method that has garnered 69 citations. She further advanced this field by comparing niching strategies to efficiently find multiple solutions, enhancing the precision of robotic movement. In the realm of manufacturing, Kalra optimized the cycle time of resistance spot welding for automotive applications, a study with 44 citations that directly impacts production efficiency in car body assembly. Her work on virtual robot systems, such as the RV-M1 model, and efficient numerical techniques for flexible manipulator dynamics, demonstrates a deep commitment to bridging theoretical research with practical, real-world applications. With over 157 total citations across her key papers, Kalra’s contributions remain foundational for students and engineers seeking to improve robotic performance in industrial settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A virtual RV-M1 robot system22 citations · 2011
- 4
- 5Efficient Methods for Solving Dynamic Problems of Flexible Manipulators6 citations · 1992
- 6