Steven Bandong
Papers
1
Total Citations
1
H-Index
1
About
Steven Bandong is a rising researcher in nonlinear control systems and underactuated robotics, with a focus on advanced crane automation. His work centers on the modeling and stabilization of complex mechanical systems, particularly gantry cranes with additional degrees of freedom. In his most cited paper, "Modeling and Control of PRP-Gantry Crane Systems via Neural IDA-PBC" (2025), Bandong introduces a novel prismatic-revolute-prismatic (PRP) robotic configuration for underactuated gantry cranes, integrating neural network-based Interconnection and Damping Assignment Passivity-Based Control (IDA-PBC) to simultaneously regulate trolley position and suppress sway. This contribution addresses a critical challenge in industrial automation—enhancing precision and safety in load transport. Though early in his career with 1 citation to date, his work demonstrates innovative synergy between neural learning and energy-based control, offering a scalable framework for next-generation crane systems. Bandong’s research bridges theoretical nonlinear dynamics and practical robotics, positioning him as a promising contributor to intelligent manufacturing and autonomous material handling.
Research Focus
Key Achievements
Top Papers
- 1Modeling and Control of PRP-Gantry Crane Systems via Neural IDA-PBC1 citations · 2025