Jihong Ju

Delft University of Technology, Qualcomm (United Kingdom)

Papers

Total Citations

187

H-Index

About

Jihong Ju is a leading researcher in robotics and automation, best known for developing intelligent systems that bridge the gap between unstructured environments and real-world industrial applications. Ju’s most impactful work centers on autonomous manipulation, particularly in warehouse logistics and pick-and-place operations. As a key member of Team Delft, Ju contributed to the robot that won both the Picking and Stowing competitions at the Amazon Robotics Challenge 2016, a landmark achievement demonstrating that current robot technology could reliably automate complex tasks in semistructured environments like Amazon’s shelves. The team’s winning approach, detailed in their highly cited 2017 paper (127 citations), integrated different levels of automation and sensor-driven control, setting a new benchmark for the field. More recently, Ju has advanced 3D perception with FastCAD (2024, 6 citations), a real-time system for CAD retrieval and alignment from scans and videos, enabling robots to understand and interact with their surroundings more efficiently. With over 180 total citations, Ju’s work continues to influence both academic research and practical automation, inspiring the next generation of roboticists to tackle real-world challenges.