A learning framework is proposed to solve the inverse kinematic problems of a highly
redundant mobile manipulator designed to traverse on rough terrains. The problem is not …

This paper presents an analysis of a mobile manipulator movement executing a pick-up
task. The robot has to reach a target point with its end-effector. The configuration of the …

This article addresses the problem of the achievement of Operational Point to Point Tasks by
mobile manipulators (MMs). An operational target point (tp) is the objective to be reached by …

In order to resolve redundancy and path planning of a high DOF mobile manipulator using
conventional approaches like Jacobian and a pseudoinverse method, researchers face the …

Mobile manipulators are robots able to accomplish complicated missions, requiring the
conjunction of the mobility and the manipulation. This paper is centred on the study of the …

This paper proposes a new learning architecture for the redundant mobile manipulator using
Self-Organized Map (SOM), while traversing on an uneven terrain with 3D workspace. The …

This paper proposes a cooperative motion planning and redundancy resolution technique
for a rover manipulator working on rough terrain in a 3-dimensional workspace. The primary …

This paper surveys the different control approaches for autonomous mobile manipulators
(traditional control approaches and multi-agent heuristic-based control approaches), and …

Robotics is a vibrant field of research with great potential to assist humans in various ways,
particularly with tasks in challenging and uncertain environments that require high mobility …

In this paper we consider the problem of cooperative motion planning for redundant mobile
manipulator on uneven terrains. This approach involves formulating the trajectory planning …