Path planning is crucial for several applications, including those in industrial facilities,
network traffic, computer games, and agriculture. Enabling automated path-planning …

In the early diffusion stage of autonomous vehicle systems, the controlling of vehicles
through exacting decision-making to reduce the number of collisions is a major problem …

A novel noise suppression zeroing neural network (NSZNN) is presented for the trajectory
tracking problem on a four Mecanum wheeled mobile manipulator (FMWMM) by solving its …

Unmanned helicopter (UH) is often utilized for raid missions because it can evade radar
detection by flying at ultra-low altitudes. Path planning is the key technology to realizing the …

Obstacle avoidance planning is the critical technology for driverless trackless rubber-tired
vehicles (TRTV) in confined spaces of the deep wells. The narrow, long and circuitous …

This paper presents a vision‐based, subspace optimal controller aiming to improve the row
transition performance of an agricultural robot in a strawberry field. The contribution of this …

This letter proposes a path planner that reshapes a global path locally in response to sensor-
based observations of obstacles in the environment. Two fundamental concepts enable the …

Through the development of a three-level hierarchical controller, this study proposes a
solution to the obstacle avoidance task in wheeled mobile robots (WMRs). The proposed …

Autonomous robots use simultaneous localization and mapping (SLAM) for efficient and
safe navigation in various environments. Light Detection and Ranging (LiDAR) sensors are …

We present Reshaping Viscoelastic-String Path-Planner a Path Planner that reshapes a
desired Global Plan for a Robotic Vehicle based on sensor observations of the Environment …