Company Filing History:
Years Active: 2022-2025
Title: Innovations by Liyang Wang in Autonomous Machinery
Introduction
Liyang Wang is an accomplished inventor based in Sunnyvale, CA. He has made significant contributions to the field of autonomous machinery, particularly in the development of innovative planning systems for excavators. With a total of 5 patents, his work addresses the challenges faced in hazardous working environments and labor shortages.
Latest Patents
One of Liyang Wang's latest patents is focused on hierarchical planning for autonomous machinery. This patent outlines a novel hierarchical planning system designed for autonomous excavators. The system includes a high-level task planner for task division and base movement planning, along with general sub-task planners that incorporate motion primitives. Experiments conducted using this system have shown effective task and motion plans for autonomous excavation tasks, such as trench and pile removal.
Another significant patent involves imitation learning and model-integrated trajectory planning. This two-stage methodology combines data-driven imitation learning with model-based trajectory optimization to generate optimal trajectories for autonomous excavators. A deep neural network is employed to mimic human expert operation patterns across various terrain states. The results indicate that this methodology can increase excavation weights by up to 24.77% while maintaining low variance.
Career Highlights
Liyang Wang is currently employed at Baidu USA LLC, where he continues to innovate in the field of autonomous machinery. His work has garnered attention for its practical applications and effectiveness in real-world scenarios.
Collaborations
Liyang has collaborated with notable coworkers, including Liangjun Zhang and Jinxin Zhao, who contribute to the advancements in autonomous technology alongside him.
Conclusion
Liyang Wang's contributions to autonomous machinery through his innovative patents demonstrate his expertise and commitment to improving excavation processes. His work not only addresses current industry challenges but also paves the way for future advancements in automation.