Pengbo Liu
Papers
2
Total Citations
11
H-Index
2
About
Pengbo Liu is a robotics researcher whose work centers on adaptive control strategies for robotic manipulation, with a particular focus on grasping and parallel robot motion planning. His most notable contribution is the development of an adaptive control-based approach for gripping novel objects with minimal force, published in 2018. This work introduces a reduced-order controller that enables a robotic gripper to achieve reliable, one-click grasping of unfamiliar objects by reparameterizing a grasp model for adaptive force regulation—a significant step toward more intuitive and efficient robotic interaction with unstructured environments. The paper has garnered 9 citations, reflecting its relevance to the grasping and manipulation community. Liu has also explored kinematic decoupling and velocity adaptive planning for parallel robots undergoing large-scale translations (2021, 2 citations), addressing challenges in high-precision industrial applications. His research bridges theoretical control design and practical implementation, offering insights for students and researchers interested in adaptive robotics, force control, and autonomous manipulation.
Research Focus
Key Achievements
Top Papers
- 1
- 2