Omar Malla
Papers
3
Total Citations
7
H-Index
2
About
Omar Malla is a robotics researcher whose work focuses on the kinematics, control, and coordination of robotic manipulators and multi-robot systems. His key research areas include manipulator design with parallelogram linkages, task allocation in multi-robot systems, and grasp localization for collaborative robots. Malla’s major contributions include developing a simplified kinematic model for manipulators with parallelogram linkages—a design that enhances stiffness and end-effector precision, widely used in palletizing robots. He also proposed a hybrid approach to task allocation in multi-robot systems using the RRT* algorithm, optimizing efficiency in scenarios where multiple robots share common tasks. Additionally, his work on grasp localization for dual-arm collaborative robots addresses the critical challenge of estimating end-effector poses to prevent object slippage, leveraging exteroceptive sensors. While his citation counts are modest—3 citations for his 2024 paper on parallelogram linkages and 2 each for his 2024 and 2021 papers—his research demonstrates practical relevance to industrial robotics and autonomous systems. Malla’s contributions are notable for bridging theoretical kinematics with real-world robotic applications, offering valuable insights for students and researchers in robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Task Allocation in a Multi-Robot System Using RRT* Algorithm2 citations · 2024
- 3