Rupeng Chen
Papers
2
Total Citations
12
H-Index
2
About
Rupeng Chen is a robotics researcher whose work focuses on advancing autonomous mobile systems, particularly in the areas of motion control and multi-robot coordination. His key contributions span two critical domains: trajectory tracking for specialized mobile robots and collaborative simultaneous localization and mapping (SLAM). Chen’s most cited work, "Trajectory Tracking for 3-Wheeled Independent Drive and Steering Mobile Robot Based on Dynamic Model Predictive Control" (2025, 7 citations), addresses a significant gap in mobile robotics. By developing a dynamic model predictive control approach for 3WID3WIS robots, he demonstrated that these cost-effective platforms—which offer lighter weight and better handling than their four-wheel counterparts—can achieve robust trajectory tracking despite reduced acceleration performance. This work provides a practical, economical alternative for applications where budget and weight constraints are paramount. His second major contribution, "Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning" (2025, 5 citations), tackles the computational bottlenecks in multi-robot SLAM. Chen’s sub-graph partitioning method reduces redundant computations in front-end loop detection and lowers the complexity of global pose optimization, enabling more efficient collaboration among robot teams. With a growing citation footprint, Chen is establishing himself as a thoughtful contributor to practical, scalable solutions in autonomous navigation.
Research Focus
Key Achievements
Top Papers
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