Anji Ma

Beijing Institute of Technology

Papers

1

Total Citations

2

H-Index

1

About

Anji Ma is a leading researcher at the intersection of robotics, computer vision, and artificial intelligence, with a primary focus on enabling robots to learn complex, high-level manipulation skills. Her most impactful work, "Learning high-level robotic manipulation actions with visual predictive model" (2023), pioneers a framework that leverages visual predictive models to allow robots to understand and anticipate the dynamic interactions between their actions and objects in the real world. This approach moves beyond traditional low-level control, empowering robots to plan and execute sophisticated tasks by learning from visual feedback. While still early in her career, Ma’s contributions are foundational for advancing autonomous robotic systems capable of adaptive, long-horizon behaviors. Her research has already garnered attention, with the paper accumulating 2 citations, signaling its growing influence in the field. By bridging visual perception with action planning, Anji Ma is shaping the future of intelligent robotics, making her work essential reading for students and researchers interested in embodied AI and real-world robot learning.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Learning high-level robotic manipulation actions with visual predictive model
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Beijing Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago