Dejan Milojevic

Papers

1

Total Citations

7

H-Index

1

About

Dejan Milojevic is an emerging researcher whose work sits at the intersection of embedded systems, robotics, and autonomous vehicle design. His most notable contribution, the CODEI framework, addresses one of the most pressing challenges in modern robotics: how to co-design perception and decision-making systems in a resource-efficient, task-driven manner. Rather than treating hardware and software as separate concerns, Milojevic's approach advocates for their holistic, simultaneous optimization — balancing critical trade-offs between safety, energy consumption, computational load, and cost. This systems-level thinking is particularly valuable in the context of autonomous vehicles, where real-world deployment demands not just technical performance but practical feasibility under strict resource constraints. Though early in citation trajectory with 7 citations since its 2025 publication, CODEI has already attracted attention from the robotics and autonomous systems community, signaling its relevance to a field hungry for principled design methodologies. Milojevic's research speaks directly to students and engineers grappling with the gap between laboratory prototypes and deployable robotic systems, making his work both timely and practically significant for the next generation of intelligent machines.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles
7 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago