We aim to capture the best intelligence possible for robots. To achieve this goal, we focus on two main directions in this field:


Autonomous Systems

An autonomous robot is an integrated system capable of performing a series of operations to their surroundings. These operations are often determined by reference to the external environment that is perceived and measured within the robot itself. A universal autonomous pipeline should provide certain automation to Perception, Cognition, and Control. This may include research topics of sensor fusion, SLAMs, local/global planning, collision avoidance and their machine learning acceleration.


Uncontrolled Scene Understanding

We are living in a highly dynamic and uncontrolled surrounding. Understanding such a scene may involve information capture and analysis at Geometric and Semantic levels. The former focuses on the extraction of geometric entities/primitives from a scene, and consider the interactions between them. The latter is often to learn human-understandable clues behind sets of geometric primitives. Correctly understanding a scene is an essential ability for autonomous robots when exploring the real-world.

If you’ve found these topics interested and would like to work with us, please see our current Vacancies and [Get In Touch].