Parkour is a grand challenge for legged locomotion that requires robots to overcome various
obstacles rapidly in complex environments. Existing methods can generate either diverse …

Odometry is crucial for robot navigation, particularly in situations where global positioning
methods like global positioning system are unavailable. The main goal of odometry is to …

In the face of large-scale environmental mapping requirements, through the use of
lightweight and inexpensive robot groups to perceive the environment, the multi-robot …

We study the problem of mobile manipulation using legged robots equipped with an arm,
namely legged loco-manipulation. The robot legs, while usually utilized for mobility, offer an …

Research in Simultaneous Localization and Mapping (SLAM) has made outstanding
progress over the past years. SLAM systems are nowadays transitioning from academic to …

We introduce UMI-on-Legs, a new framework that combines real-world and simulation data
for quadruped manipulation systems. We scale task-centric data collection in the real world …

Simultaneous Localization and Mapping (SLAM) is being deployed in real-world
applications, however many state-of-the-art solutions still struggle in many common …

Confined and subterranean areas are common in many civilian and industrial sites,
although they are hazardous for humans given the presence of noxious gases, extreme …

Simultaneous Localization and Mapping (SLAM) has been widely applied in various robotic
missions, from rescue operations to autonomous driving. However, the generalization of …

This work proposed a LiDAR-inertial-visual fusion framework termed R LIVE++ to achieve
robust and accurate state estimation while simultaneously reconstructing the radiance map …