Chi Tai Cheng

University of Manitoba

Papers

3

Total Citations

36

H-Index

2

About

Chi Tai Cheng is a pioneering researcher in the intersection of robotics, artificial intelligence, and embedded systems. His work centers on using competitive robotics platforms as rigorous benchmarks for advancing AI research, particularly through the design of autonomous humanoid robots capable of complex perception and navigation. Cheng’s most influential contribution, "Robotics competitions as benchmarks for AI research" (2011, 30 citations), established a framework for evaluating AI algorithms in dynamic, real-world environments, highlighting how competitions like robotic soccer drive innovation beyond controlled lab settings. This work has become a foundational reference for researchers developing embodied AI. In his complementary study, "Vision-based obstacle run for teams of humanoid robots" (2011, 4 citations), Cheng demonstrated a novel system where mobile phones serve as the robots’ brains, integrating vision, balance, and processing. By employing particle filters for localization and mapping, his team enabled small humanoids to autonomously navigate obstacle courses—a practical leap toward affordable, scalable robotics. Additionally, his development of "Threaded C and Freezer OS" (2011, 2 citations) showcases his expertise in low-level system design for resource-constrained robots. Cheng’s work exemplifies how competition-driven challenges and creative hardware solutions can accelerate progress in autonomous systems, inspiring both students and seasoned researchers to rethink the boundaries of AI and robotics.

Research Focus

Key Achievements

2
H-Index
3
Papers
36
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Robotics competitions as benchmarks for AI research
30 citations · 2011
📈 Most Prolific Year: 2011 (3 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Manitoba

Top Papers

  1. 1
  2. 2
  3. 3
    Threaded C and Freezer OS
    2 citations · 2011

Key Collaborators

Contact & Links

Available for collaboration
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