Ghazal Hakimifard
Papers
1
Total Citations
42
H-Index
1
About
Ghazal Hakimifard is a robotics researcher whose work lies at the intersection of manipulation, motion planning, and optimization. Her key research areas include robotic assembly, grasp synthesis, and multi-level decision-making for autonomous systems. Her most notable contribution is a pioneering framework that simultaneously optimizes grasping locations and motion trajectories, breaking from traditional hierarchical approaches where grasp planning is treated as a separate input. This integrated method, detailed in her highly cited 2020 paper (42 citations), enables robots to reason holistically about how to pick and place objects during complex assembly tasks, improving efficiency and adaptability. Beyond this work, Hakimifard’s research has advanced the understanding of how optimization can bridge the gap between high-level task planning and low-level control. Her contributions are particularly impactful for industries seeking to automate intricate manufacturing processes, where coordinated grasping and movement are critical. With a growing citation record and a focus on practical, real-world robotics challenges, Hakimifard is establishing herself as a key voice in the field of robotic manipulation and autonomous assembly.
Research Focus
Key Achievements
Top Papers
- 1