Papers

2

Total Citations

7

H-Index

2

About

Fikih Muhamad is a robotics researcher specializing in quadruped locomotion and perception-based control. His work focuses on enabling legged robots to navigate challenging, unstructured environments by improving how they perceive and assess terrain before making contact. Muhamad’s key contributions include developing robust perception controllers that allow quadrupeds to maintain stability on slippery, deformable, and reflective surfaces—conditions that typically introduce sensor noise and compromise performance. His 2023 paper, “Learning Robust Perception-Based Controller for Quadruped Robot,” has garnered 4 citations and addresses the critical dilemma of perceptual robustness in real-world terrains. In his 2024 follow-up, “Robust Traversability Prediction Using Multiple Costs for Quadruped Robot in Random Terrains,” he tackles the high-dimensional challenge of traversability assessment, a core problem in safe autonomous locomotion. Though early in his career, Muhamad’s work is already shaping how researchers approach terrain-aware control for legged systems. His integration of multiple cost functions for traversability prediction represents a promising step toward more reliable, field-ready quadruped robots.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Learning Robust Perception-Based Controller for Quadruped Robot
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Seoul National University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago