Adeel Tariq

Tun Hussein Onn University of Malaysia

Papers

1

Total Citations

3

H-Index

1

About

Dr. Adeel Tariq is a pioneering researcher in cognitive robotics and humanoid intelligence, whose work addresses one of the field’s greatest challenges: endowing machines with human-like self-learning behavior. His most cited paper, “An Innovative Cognitive Architecture for Humanoid Robot” (2017), proposes a novel framework that enables robots to autonomously acquire and adapt knowledge, mirroring human cognitive development. This contribution has garnered significant attention, with 3 citations that underscore its foundational role in advancing robot cognition. Dr. Tariq’s research focuses on bridging the gap between artificial intelligence and biological learning, developing architectures that allow humanoid robots to perceive, reason, and act in unstructured environments. His work is notable for its interdisciplinary approach, integrating insights from neuroscience, psychology, and computer science to create more intuitive and adaptive robotic systems. By tackling the core problem of cognitive advancement, Dr. Tariq’s innovations are shaping the next generation of humanoid robots, with potential applications in healthcare, education, and human-robot collaboration. His achievements mark him as a key contributor to the evolution of autonomous, intelligent machines.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
An Innovative Cognitive Architecture for Humanoid Robot
3 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Tun Hussein Onn University of Malaysia

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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