Success Story: EB-1A Triumph for Robotics Expert Innovating Deep Learning in Manipulation and Perception
Client’s Testimonial:
“Thank you so much! Very helpful!”
On September 10th, 2025, we received another EB-1A (Alien of Extraordinary Ability) approval for a Senior Staff Robotics Engineer in the Field of Robotics (Approval Notice).
General Field: Robotics
Position at the Time of Case Filing: Senior Staff Robotics Engineer
Country of Origin: China
State of Residence at the Time of Filing: California
Approval Notice Date: September 10th, 2025
Processing Time: 1 year, 2 months, 29 days
Case Summary:
An EB-1A (Alien of Extraordinary Ability) petition in the field of robotics was successfully approved, highlighting the petitioner’s exceptional research achievements and growing international recognition. North America Immigration Law Group (NAILG) presented strong evidence demonstrating that the petitioner’s innovative work in robotic manipulation and grasp learning represents original contributions of major significance that continue to influence robotics research and industrial automation worldwide.
The petitioner’s research centers on enabling robots to perform complex tasks with precision and adaptability in unstructured environments. His studies have introduced cutting-edge learning-based algorithms that strengthen robots’ ability to grasp and manipulate irregular or unseen objects, a challenge that lies at the core of real-world automation. His findings have advanced the development of deep learning and reinforcement learning models that enhance robotic perception and decision-making.
As noted by one expert: “On a broader scale, [Client]’s development of robust manipulation algorithms and pioneering learning-based approaches for robot adaptation also significantly contributes to progress in robotics research and the capacity to utilize robotics technology for economic and societal progress.”
The petitioner has an impressive academic and professional record, having published 4 first-authored peer-reviewed journal articles and 4 peer-reviewed conference papers that have collectively been cited 372 times. His articles rank among the most cited in the field for their publication years, underscoring the lasting influence of his work. Researchers from major universities and technology institutions around the world have relied on his findings to develop new models in multi-fingered grasp planning, closed-loop grasping, and reinforcement learning-based control.
Beyond his research output, the petitioner has demonstrated leadership through extensive service as a reviewer for 21 journals and conferences. His consistent selection as a reviewer by top editorial boards reflects the high level of trust placed in his technical expertise. Moreover, his research has received support from the National Science Foundation (NSF), a testament to its scientific merit and alignment with U.S. national priorities in robotics and artificial intelligence.
NAILG’s presentation of the case highlighted the petitioner’s role as a pioneering contributor whose research has shaped key areas of robotics, from grasp learning to robot adaptation in dynamic environments. The EB-1A approval confirms his position among the leading innovators in the field and recognizes his ongoing contributions toward safer, more efficient, and intelligent robotic systems. NAILG is proud to have represented this exceptional researcher and to have assisted in securing this successful outcome.

