Object-level data association and pose estimation play a fundamental role in semantic
SLAM, which remain unsolved due to the lack of robust and accurate algorithms. In this …

Scale ambiguity is a fundamental problem in monocular visual odometry. Typical solutions
include loop closure detection and environment information mining. For applications like self …

For airports with high passenger and luggage flows, a large number of staff members have
to be hired to deploy the scattered passenger luggage trolleys. To release humans from the …

We present a learning-based approach to solving a Rubik's cube with a multi-fingered
dexterous hand. Despite the promising performance of dexterous in-hand manipulation …

3D perception in intelligent VR/AR and autonomous vehicles (AV) applications is critical and
attracting significant attention. The self-supervised monocular depth and ego-motion …

Motion estimation of vision-only has no absolute scale, which leads to unmeasurable scale
and scale drift. Existing methods of visual scale recovery are either costly or complex …

Elevator button recognition is considered an indispensable function for enabling the
autonomous elevator operation of mobile robots. However, due to unfavorable image …

In many workspaces, robots need to obtain their own speed and precise pose for motion
control, navigation, and interaction with the environment. The inertial measurement unit …

The purpose of this work is to develop mathematical apparatus for a coaxial hexacopter,
equipped with IMU (inertial measurement unit) and GNSS (global navigation satellite …

The purpose of this work is to develop mathematical apparatus for a coaxial hexacopter,
equipped with IMU (inertial measurement unit) and GNSS (global navigation satellite …