Papers
4
Total Citations
35
H-Index
2
About
Huimin Che is a researcher at the forefront of cloud robotics and autonomous perception, whose work tackles the fundamental challenge of enabling robots to perform computationally intensive tasks beyond their onboard capabilities. Che’s most significant contribution is the development of **Cloudroid**, a pioneering cloud framework that allows for transparent and QoS-aware robotic computation outsourcing. This system, detailed in their highly cited 2017 paper (28 citations), addresses the critical difficulty of seamlessly integrating cloud resources into robotic software, ensuring that heavy computations—such as complex perception or planning—can be offloaded without compromising real-time performance. Beyond cloud infrastructure, Che explores how robots can overcome environmental uncertainty. Their work on **Learning from Internet** and **Enabling Imagination** investigates novel approaches for robots to recognize and locate unfamiliar objects by leveraging generative adversarial networks and online data, effectively giving machines the ability to “imagine” objects they have never seen before. By bridging cloud computing with adaptive perception, Che’s research lays essential groundwork for more capable, scalable, and intelligent autonomous systems, making them a key figure in the evolution of cloud-enabled robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Learning from Internet3 citations · 2017
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- 4