Nam Hee Kim

University of British Columbia

Papers

2

Total Citations

104

H-Index

2

About

Nam Hee Kim is a leading researcher in computer animation and robotics, specializing in physics-based character control and locomotion. Her most impactful contribution is the ALLSTEPS system, a curriculum-driven learning framework that teaches virtual characters to navigate complex stepping-stone environments with remarkable agility and precision. This work, which has garnered nearly 100 citations, addresses a fundamental challenge in character animation: enabling bipedal agents to reliably place their feet on constrained, discrete footholds. By designing a progressive training curriculum that gradually increases task difficulty, Kim’s approach produces robust, natural-looking gaits that generalize to unseen terrain configurations. Her research bridges reinforcement learning and biomechanics, offering practical solutions for interactive media, virtual reality, and legged robotics. Kim’s work has been recognized for its technical elegance and real-world applicability, making her a rising voice in the field of physics-based simulation. Her contributions continue to inspire new directions in adaptive locomotion and skill transfer for autonomous agents.

Research Focus

Key Achievements

2
H-Index
2
Papers
104
Total Citations
52
Avg Citations/Paper
🏆 Most Cited Paper
ALLSTEPS: Curriculum‐driven Learning of Stepping Stone Skills
99 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of British Columbia

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago