Yisheng He

Alibaba Group (China), ShanghaiTech University

Papers

Total Citations

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About

Yisheng He is a researcher at the forefront of robotics and micro-robotics, with key contributions in open-vocabulary object perception and soft micromotor design. In their highly cited 2024 work on open-vocabulary category-level object pose and size estimation (11 citations), He pioneered a new open-set problem: enabling robot agents to predict the position, orientation, and size of arbitrary novel object categories from human text descriptions alone—a breakthrough that bridges natural language and 3D spatial reasoning for more flexible robotic manipulation. In parallel, He’s research on soft micromotors (9 citations) introduces 3D-to-3D shape reconfiguration to achieve fast, dynamically controllable motion at the microscale, addressing a longstanding challenge in soft robotics for applications like mixing, sorting, and targeted transport. This dual expertise—spanning perception and actuation—demonstrates He’s ability to tackle fundamental problems across scales, from centimeter-level robotic grasping to micrometer-level self-propelled devices. With growing citation impact and innovative problem framing, He is establishing a reputation for advancing both the intelligence and physical capabilities of autonomous systems.