Cody Kwok
Papers
2
Total Citations
36
H-Index
2
About
Cody Kwok is a researcher whose work lies at the intersection of probabilistic robotics and real-time sensor fusion. His most significant contribution is the development of "Real-Time Particle Filters" (2004, 29 citations), a foundational paper that addresses a critical bottleneck in dynamic system estimation: the mismatch between high-frequency sensor data and slower filter update rates. Kwok’s approach enables particle filters to process incoming sensor streams more efficiently without sacrificing accuracy, making them viable for time-critical applications like autonomous navigation and tracking. This work has influenced subsequent research in robotics and signal processing. Kwok also contributed to the multi-agent robotics domain through his involvement with the UW Huskies-01 team (2002, 7 citations), a RoboCup entry that showcased coordinated behavior in a competitive environment. While his citation counts reflect a focused, niche impact, his real-time filtering innovations remain a practical reference for engineers and researchers building systems that must think fast while sensing faster.
Research Focus
Key Achievements
Top Papers
- 1Real-Time Particle Filters29 citations · 2004
- 2Team Description: UW Huskies-017 citations · 2002