Peter Y. K. Cheung
Papers
7
Total Citations
51
H-Index
5
About
Peter Y. K. Cheung is a researcher whose work spans reconfigurable computing, real-time systems, robotics, and hardware acceleration — fields where computational efficiency meets intelligent system design. His most influential contributions center on adaptive particle filters and their implementation on heterogeneous reconfigurable architectures. His 2013 paper on heterogeneous reconfigurable systems for adaptive particle filters, his most cited work with 16 citations, demonstrates how FPGAs and CPUs can be combined to enable computationally demanding Sequential Monte Carlo methods to run effectively in real-time environments. This work, complemented by related 2012 and 2014 publications, addresses a critical challenge in state estimation for dynamic systems by dynamically adapting particle counts to reduce runtime complexity without sacrificing accuracy. Beyond reconfigurable computing, Cheung has explored robotics from multiple angles — from fuzzy logic-based mobile robot navigation and uncertainty modelling in the late 1990s and early 2000s, to more novel pursuits such as developing an anthropomorphic robot capable of playing the Theremin, one of music's most demanding instruments. His acceleration of proximity query algorithms for human-robot collaborative control further reflects a commitment to bridging theoretical computing advances with tangible, real-world robotic applications. Cheung's body of work reveals a researcher consistently drawn to the intersection of adaptive computation and physical systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Adaptive Sequential Monte Carlo approach for real-time applications8 citations · 2012
- 3
- 4Towards anthropomorphic robot Thereminist7 citations · 2010
- 5Acceleration of real-time Proximity Query for dynamic active constraints5 citations · 2013
- 6Modelling and Handling Uncertainties in Mobile Robotics4 citations · 1997
- 7