Khalil Abuibaid
Papers
2
Total Citations
5
H-Index
2
About
Khalil Abuibaid is a forward-thinking researcher at the intersection of industrial robotics, human-robot collaboration, and neuromorphic computing. His work addresses critical bottlenecks in production technology, particularly the high safety requirements and integration costs that limit robotic support in manual tasks. Abuibaid’s most cited paper, “Skill-based multi-agent control for safe and effective human-robot collaboration” (2025, 3 citations), introduces a novel agent-based framework that enables safer, more adaptive human-robot teamwork in complex manufacturing environments. Complementing this, his influential work “The need for neuromorphic computing in industrial robotics” (2023, 2 citations) tackles the impending limits of Moore’s Law by advocating for brain-inspired computing architectures to sustain the compute-intensive demands of robotics and AI. Through these contributions, Abuibaid is shaping a future where robots work seamlessly alongside humans, powered by energy-efficient, neuromorphic hardware. His research is particularly valuable for students and engineers seeking to understand how next-generation control systems and computing paradigms can transform industrial automation, making it safer, more efficient, and more scalable.
Research Focus
Key Achievements
Top Papers
- 1
- 2The need for neuromorphic computing in industrial robotics2 citations · 2023