Kuan-Cheng Kuo
Papers
1
Total Citations
2
H-Index
1
About
Kuan-Cheng Kuo is a robotics researcher specializing in autonomous navigation and manipulation, with a particular focus on non-prehensile manipulation—the art of moving objects without grasping them. His most-cited work, "Stable pushing in narrow passage environment using a modified hybrid A* algorithm" (2024), introduces a novel approach that integrates stable pushing with path planning in constrained spaces. By adapting the hybrid A* algorithm to account for the dynamics of object–robot interaction, Kuo enables robots to reliably maneuver objects through tight corridors and cluttered environments—a critical capability for warehouse logistics, domestic service robots, and industrial automation. Although early in his career, this paper has already garnered attention for its practical relevance, earning 2 citations as a foundational step toward robust non-prehensile manipulation. Kuo’s contributions bridge the gap between theoretical motion planning and real-world constraints, offering a scalable solution for tasks where grasping is infeasible. His work is particularly notable for its emphasis on stability guarantees during pushing, a challenge that has long limited the deployment of such techniques. As the field moves toward more dexterous and adaptable robots, Kuo’s research stands out for its blend of algorithmic innovation and applied problem-solving.
Research Focus
Key Achievements
Top Papers
- 1