3 accepted papers
The Kolmogorov-Arnold Network (KAN) is a new network architecture known for its high accuracy in several tasks such as function fitting and PDE solving. The superior expressive capability of KAN arises from the Kolmogorov-Arnold representation theorem and learnable spline functions. However, the com…
The inertial measurement unit (IMU), as an interoceptive sensor typically providing high-frequency angular velocity and specific force measurements, has been widely exploited for accurate motion estimation in modern robotic applications, such as autonomous navigation and exploration. Recently, there
Continuous and reliable ego-velocity information is significant for high-performance motion control and planning in a variety of robotic tasks, such as autonomous navigation and exploration. While linear velocities as first-order kinematics can be simultaneously estimated with other states or explic