Polytechnic University of Bari

🇮🇹 IT

Papers

238

Total Citations

5,133

H-Index

35

Researchers

192

About

The Polytechnic University of Bari stands as a dynamic hub of engineering and technology research in southern Italy, with a particularly strong identity in robotics, artificial intelligence, and human-machine interaction. The institution's research portfolio spans an impressive breadth — from foundational computer vision and deep learning to cutting-edge rehabilitation robotics and smart manufacturing — reflecting a commitment to both theoretical innovation and real-world impact. Among the university's most prominent contributions is its influential 2018 survey on pedestrian detection and tracking using deep learning, which has garnered over 530 citations and established the institution as a key reference point in computer vision research. Equally significant is its work on human-robot collaboration in Industry 4.0 contexts, where researchers have shaped the discourse around safe, ergonomic, and efficient workflows in next-generation manufacturing environments. The university's expertise in soft robotics is equally compelling, with highly cited reviews on additive manufacturing for soft robot fabrication and pioneering studies on electroadhesion grippers attracting widespread international attention. Medical robotics represents another flagship strength. Faculty and researchers have produced systematic reviews and original studies on AI-driven exoskeletons for upper limb rehabilitation and robotic-assisted gait recovery post-stroke, making meaningful contributions to the intersection of robotics and clinical medicine. Research into multi-robot SLAM systems and lidar-centric odometry further demonstrates the institution's engagement with autonomous systems operating in complex, real-world environments. With consistent citation growth across disciplines including IoT-aided robotics, terrain classification, and intelligent sensor design, the Polytechnic University of Bari offers prospective students and collaborators a vibrant, internationally connected research environment where engineering meets societal impact.

Research Focus

Key Achievements

35
H-Index
238
Papers
5,133
Total Citations
192
Faculty & Researchers
🏆 Most Cited Paper
Computer vision and deep learning techniques for pedestrian detection and tracking: A survey
533 citations · 2018
📊 Avg Citations/Paper: 22
📈 Most Prolific Year: 2022 (41)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Engineering, Robotics, Computer vision

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Faculty & Researchers

Content generated · 1 days ago