Qingwei Ben
Papers
2
Total Citations
6
H-Index
2
About
Qingwei Ben is a rising researcher in robotics, specializing in whole-body loco-manipulation and tactile simulation for contact-rich manipulation. Their work bridges the gap between high-degree-of-freedom control and physically accurate sensor feedback, enabling more dexterous and cooperative robotic systems. Ben’s first highly cited paper, “RoboDuet” (2025, 4 citations), introduces a novel framework that leverages a quadruped robot’s full degrees of freedom for whole-body coordination, allowing it to perform complex loco-manipulation tasks with a robotic arm—a significant step toward versatile, real-world robots. Their second notable work, “DIFFTACTILE” (2024, 2 citations), presents a physics-based differentiable tactile simulator that provides dense, realistic tactile feedback for robotic manipulation, moving beyond simplified rigid-body models to enhance contact-rich tasks. Though early in their career, Ben’s contributions are already recognized for their innovation in cooperative policy learning and simulation fidelity. Their research promises to advance autonomous robots in dynamic environments, from industrial automation to assistive robotics, by integrating locomotion, manipulation, and tactile sensing into cohesive, intelligent systems.
Research Focus
Key Achievements
Top Papers
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- 2