Inertial parameters characterise an object's motion under applied forces, and can provide
strong priors for planning and control of robotic actions to manipulate the object. However …

In this paper, we present a grammar-based natural language framework for robot
programming, specifically for pick-and-place tasks. Our approach uses a custom dictionary …

Estimating the inertial properties of an object can make robotic manipulations more efficient,
especially in extreme environments. This paper presents a novel method of estimating the …

Redundant manipulators are used in several areas because they can work with various
postures. They are dexterous and can avoid crashing with obstacles during working in a …

Teleoperating robotic manipulators can be complicated and cognitively demanding for the
human operator. Despite these difficulties, teleoperated robotic systems are still popular in …

Consider the task of grasping the handle of a door, and then pushing it until the door opens.
These two fundamental robotics problems (selecting secure grasps of a hand on an object …

This study explores an opportunity to engage first-year engineering students in practice with
a modern industrial robot Baxter and provides training in spatial skills. We developed a …

We propose a haptic-guided shared control system that provides an operator with force cues
during reach-to-grasp phase of tele-manipulation. The force cues inform the operator of …

This paper presents a grasping convolutional neural network with image segmentation for
mobile manipulating robot. The proposed method is cascaded by a feature pyramid network …

To rigidly grasp an orbital target, an autonomous spacecraft needs specially designed end-
effectors that are complicated, costly, and hard to generalise to other objects. This paper …