Cornell University

🇺🇸 US

Papers

1,564

Total Citations

86,229

H-Index

136

Researchers

1,631

About

Cornell University stands at the forefront of robotics and artificial intelligence research, distinguished by a remarkably diverse portfolio that spans soft robotics, machine learning, rehabilitation engineering, and bio-inspired design. With flagship contributions accumulating thousands of citations, Cornell's researchers have fundamentally reshaped how the field thinks about robotic manipulation, adaptive machines, and human-robot interaction. Cornell's work on deep learning for robotic grasping — now cited over 1,600 times — helped pioneer data-driven approaches to perception and manipulation that underpin modern robot autonomy. Equally transformative is the lab's research on granular jamming grippers, offering an elegant, materials-based solution to universal object handling that continues to inspire industrial and academic innovation worldwide. In soft robotics, Cornell has emerged as a defining voice: combustion-powered 3D-printed robots, stretchable electroluminescent skins, and optoelectronically innervated prosthetic hands collectively reflect a commitment to reimagining what robots can be made of and how they can behave. The university's Creative Machines Lab, led by Hod Lipson, has produced landmark work on self-modeling resilient machines and modular self-reconfigurable systems, pushing boundaries in autonomous adaptation and evolutionary robotics. Meanwhile, Cornell's rehabilitation robotics contributions — including randomized clinical trials of robot-assisted stroke therapy — demonstrate a deep commitment to translating engineering excellence into measurable human benefit. Prospective students and collaborators will find an environment where materials science, computer science, mechanical engineering, and medicine converge. Cornell's unique strength lies in bridging fundamental research with real-world impact, producing graduates and innovations that define emerging directions across the global robotics community.

Research Focus

Key Achievements

136
H-Index
1,564
Papers
86,229
Total Citations
1,631
Faculty & Researchers
🏆 Most Cited Paper
Deep learning for detecting robotic grasps
1,646 citations · 2015
📊 Avg Citations/Paper: 55
📈 Most Prolific Year: 2024 (110)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Engineering, Medicine, Surgery

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 · 0 days ago