Jing-Cheng Pang
Papers
1
Total Citations
6
H-Index
1
About
Dr. Jing-Cheng Pang is a rising researcher in robotics and artificial intelligence, with a primary focus on advancing manipulation in cluttered environments (MoC) for domestic service robots. His most-cited work, the "Object-Oriented Option Framework for Robotics Manipulation in Clutter" (2023, 6 citations), introduces a novel hierarchical learning approach that decomposes complex manipulation tasks into reusable, object-centric sub-policies. This framework directly addresses the critical challenge of effective planning and control when robots must interact with multiple, often overlapping objects—a key bottleneck for real-world household automation. By enabling robots to learn and generalize manipulation skills across different objects and clutter configurations, Dr. Pang’s work bridges the gap between theoretical reinforcement learning and practical robotics. Though early in his career, his contributions are already recognized for their potential to make domestic robots more adaptable and efficient. His research sits at the intersection of object-oriented representation learning and robotic control, promising to accelerate the deployment of helpful, safe, and capable service robots in everyday homes.
Research Focus
Key Achievements
Top Papers
- 1Object-Oriented Option Framework for Robotics Manipulation in Clutter6 citations · 2023