Deep reinforcement learning produces robust locomotion policies for legged robots over
challenging terrains. To date, few studies have leveraged model-based methods to combine …

The task of robotic mobile manipulation poses several scientific challenges that need to be
addressed to execute complex manipulation tasks in unstructured environments, in which …

Solving mobile manipulation tasks in inaccessible and dangerous environments is an
important application of robots to support humans. Example domains are construction and …

A common disadvantage of multi-legged robots is that they often lack the manipulation
capability. To overcome this limitation, an arm can be added to the body of the multi-legged …

The task of performing locomotion and manipulation simultaneously poses several scientific
challenges, such as how to deal with the coupling effects between them and how to cope …

The studies on quadruped robots equipped with arms are still rare at the moment. The
interaction between the arm and the quadrupedal platform needs to be handled by whole …

A systematic solution is developed to improve the autonomous capability of the quadruped
robot with a manipulator, such as navigation, recognition and operation. The developed …

Inspired by human behavior when traveling over unknown terrain, this study proposes the
use of probing strategies and integrates them into a traversability analysis framework to …

Quadruped robots can mimic animal locomotion mode and have great potential usage in
unstructured environments. However, as mobile platforms, quadruped robots often lack …

Equipping a legged robot with a manipulator enables versatile mobile manipulation,
significantly improving its performance in various tasks. However, developing a unified …