Arizona State University

🇺🇸 US

Papers

1,028

Total Citations

38,867

H-Index

80

Researchers

1,017

About

Arizona State University has established itself as a uniquely multidisciplinary research powerhouse at the intersection of robotics, artificial intelligence, and biomedical engineering. With a research portfolio spanning from deep reinforcement learning to molecular robotics and soft bioinspired systems, ASU demonstrates an extraordinary breadth of innovation that positions it among the most versatile technical universities in the United States. ASU's contributions to AI and robotics have been nothing short of transformative. The university's work on deep reinforcement learning — cited over 4,200 times — has become a foundational reference for researchers worldwide seeking to build autonomous, visually intelligent systems. Equally impressive is the institution's pioneering research in soft robotics, where highly cited reviews on fluid-driven devices and bioinspired materials are shaping the future of human-robot interaction. The development of RUPERT, a wearable exoskeletal robot for stroke rehabilitation, and ongoing work in compliant actuator design and myoelectric control signal ASU's deep commitment to assistive and medical robotics. Perhaps most distinctively, ASU bridges robotics with nanotechnology. The lab's groundbreaking DNA nanorobot cancer therapeutic — cited nearly 1,500 times — exemplifies how the university merges robotics principles with molecular biology to tackle real-world medical challenges. Research in DNA origami and molecular robots further cements ASU's global leadership in programmable matter. Through centers like the Biodesign Institute and the Human-Oriented Robotics and Control Lab, ASU cultivates collaborative, high-impact research environments. Prospective students and partners will find an institution unafraid to explore bold frontiers — from cancer-fighting nanobots to Mars exploration instruments — making it an exceptional home for ambitious, interdisciplinary research.

Research Focus

Key Achievements

80
H-Index
1,028
Papers
38,867
Total Citations
1,017
Faculty & Researchers
🏆 Most Cited Paper
Deep Reinforcement Learning: A Brief Survey
4,261 citations · 2017
📊 Avg Citations/Paper: 38
📈 Most Prolific Year: 2020 (98)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Engineering, Robotics, Materials science

Top Papers

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    Domo Arigato Mr. Roboto
    1,237 citations · 2016
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    Compliant actuator designs
    823 citations · 2009
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Faculty & Researchers

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