Khaled A. Mustafa

Delft University of Technology

Papers

2

Total Citations

12

H-Index

1

About

Khaled A. Mustafa is a rising star in robotics, specializing in safe motion planning and risk-aware navigation for autonomous systems operating in uncertain, human-populated environments. His research focuses on developing probabilistic frameworks that balance the critical trade-off between mission efficiency and safety, particularly in crowded, dynamic settings where predicting human behavior is inherently uncertain. Mustafa’s major contributions include pioneering chance-constrained collision avoidance methods, such as his 2023 work on "Probabilistic Risk Assessment for Chance-Constrained Collision Avoidance," which has garnered 11 citations for its novel approach to ensuring safety without sacrificing performance. He has further advanced the field with his 2025 paper on "Dynamic Risk-Aware MPPI for Mobile Robots in Crowds," introducing efficient Monte Carlo approximations to handle arbitrarily shaped predictions under real-time constraints. By enabling robots to make safer, more reliable decisions amidst unpredictable human movements, Mustafa’s work directly addresses a core challenge in deploying robots in real-world settings like hospitals, warehouses, and public spaces. His research is highly relevant for students and engineers working on autonomous navigation, human-robot interaction, and risk assessment in robotics.

Research Focus

Key Achievements

1
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Probabilistic Risk Assessment for Chance-Constrained Collision Avoidance in Uncertain Dynamic Environments
11 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Delft University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago