Shun Iwase
Papers
1
Total Citations
4
H-Index
1
About
Shun Iwase is a rising roboticist whose work sits at the intersection of computer vision and embodied AI, with a primary focus on enabling robots to interact intelligently with unstructured environments. His most notable contribution is the development of **ZeroGrasp**, a pioneering framework that tackles a fundamental challenge in robotic manipulation: the inability to grasp objects using only partial sensory data. Unlike traditional methods that directly predict grasp poses from incomplete point clouds—often resulting in collisions or unstable grips—ZeroGrasp first performs zero-shot shape reconstruction, inferring the full 3D geometry of an object before planning a grasp. This "reconstruct-then-grasp" paradigm dramatically improves both the success rate and safety of robotic interactions. Though early in his career, Iwase’s work has already garnered attention (4 citations for ZeroGrasp in its first year), signaling its potential to influence the next generation of dexterous, perception-driven robotic systems. His research is particularly relevant for students and engineers working at the frontier of generalist robotics, where adaptability and geometric reasoning are paramount.
Research Focus
Key Achievements
Top Papers
- 1ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping4 citations · 2025