Research in Robotics
Georgia Tech papers include work from at least 65 areas within robotics at ICRA. Explore all the people and individual papers by research subfields in the graphic. Click the image to expand the view. Each dot represents a person at the conference with size indicating number of papers. Georgia Tech has nearly 100 authors in the ICRA papers program.
Researchers from the College of Computing and College of Engineering comprise the majority of the institute’s contributors to ICRA 2020.
Deep learning in robotics and automation includes at least 19 authors from the two colleges, with deep learning being computing’s strongest area. Mechanism design is where engineering excels with at least 14 authors. Click the image to explore all 65 subfields of robotics for GT research at ICRA.
Georgia Institute of Technology researchers have developed one of the most robust research methods currently available to allow robots to correctly pick up common objects based on how they should be used.
Whereas humans might touch a hot pan on a stove once and never forget the lesson, it’s more complex to train robots to apply such universal knowledge across different situations.
Georgia Tech is a leader within the international community of roboticists as represented by the work at the IEEE International Conference on Robotics and Automation.
The depth and breadth of robotics at Georgia Tech breaks through disciplinary boundaries and allows for transformative research that transitions from theory to robustly deployed systems featuring next-generation robots.
The diversity of robotics research at Georgia Tech is represented in the number of academic units and disciplines involved advancing the field. Multidisciplinary teams often come together to tackle challenges that require a unique combination of skill sets. Click image to explore research.