One of the fundamental fields of research is motion planning. Mobile manipulators present a
unique set of challenges for the planning algorithms, as they are usually kinematically …

Mobile Manipulation (MM) systems are ideal candidates for taking up the role of personal
assistants in unstructured real-world environments. Among other challenges, Mobile …

Mobile manipulation tasks remain one of the critical challenges for the widespread adoption
of autonomous robots in both service and industrial scenarios. While planning approaches …

Mobile manipulation tasks require a seamless integration of navigation and manipulation
capabilities. Finding suitable robot placements to pick up and place objects in such tasks is …

Despite its importance in both industrial and service robotics, mobile manipulation remains a
significant challenge as it requires seamless integration of end-effector trajectory generation …

A core challenge for an autonomous agent acting in the real world is to adapt its repertoire of
skills to cope with its noisy perception and dynamics. To scale learning of skills to long …

This paper introduces a reactive self-collision avoidance algorithm for differentially driven
mobile manipulators. The proposed method mainly focuses on self-collision between a …

In this paper, we explore the problem of task-consistent path planning for printing-in-motion
via Mobile Manipulators (MM). MM offer a potentially unlimited planar workspace and …

Mobile manipulators have been employed in many applications that are traditionally
performed by either multiple fixed-base robots or a large robotic system. This capability is …

With recent introduction of affordable sensors, motors, batteries and processors, as well as
the major advancement in machine learning field, we now see a wide adoption of …