Motion planning is an integral part of each robotic system. It is critical to develop an effective
motion in order to achieve a successful performance. The ability to generate a smooth …

Abstract The Vision Guided Robotic systems (VGR) is an essential aspect of modern
intelligent robotics. The VGR is rapidly transforming manufacturing processes by enabling …

Reinforcement learning methods as a promising technique have achieved superior results
in the motion planning of free-floating space robots. However, due to the increase in …

Providing densely shaped reward functions for RL algorithms is often exceedingly
challenging, motivating the development of RL algorithms that can learn from easier-to …

In reinforcement learning (RL), a reinforcement signal may be infrequent and delayed, not
appearing immediately after the action that triggered the reward. To trace back what …

Collision-free trajectory planning in narrow spaces has become one of the most challenging
tasks in automated parking scenarios. Previous optimization-based approaches can …

When using deep reinforcement learning algorithms for path planning of a multi-DOF fruit-
picking manipulator in unstructured environments, it is much too difficult for the multi-DOF …

Many optimization methods for construction site layout planning (CSLP) generate the
shortest path of workers to calculate traveling costs and site safety performance. However …

The application of robots in the field of Marine aquatic organisms capture can greatly
improve the fishing efficiency and economy of seafood. The purpose for path planning of …

This article presents a novel spatiotemporal optimization approach for vertical path planning
(ie, waypoint optimization) to maximize the net output power of an ocean current turbine …