Achieving intelligent rock excavation is an important development direction in underground engineering construction. Currently, some rock-drilling jumbos are able to perform autonomous operations under ideal contour surfaces. However, irregular surfaces resulting from factors such as characteristics, drilling deviation, and blasting effects present a significant challenge for automated non-idea...

3D printing, to print continuous fiber reinforced plastics (CFRPs) has advantages of manufacturing complex shape and short production cycle. Due anisotropic mechanical properties fibers, the paving direction fibers determines strengths printed CFRPs. In this paper, a novel load-dependent path planning (LPP) method been proposed generate printing for CFRPs, which exactly follows load transmissio...

This study proposes using unmanned aerial vehicles (UAVs) to carry out tasks involving path planning and obstacle avoidance, explore how improve work efficiency ensure the flight safety of drones. One applications under consideration is aquaculture cage detection; net-cages used in sea-farming are usually numerous scattered widely over sea. It necessary save energy consumption so that drones ca...

Abstract This paper presents a general approach to compute energy optimal flight paths for unmanned aerial vehicle (UAV) in urban environments. To minimize the required, path is optimized by exploiting local wind phenomena, i.e., upwind and tailwind areas from airflow around buildings. A realistic field of model environment typical continental Europe generated using PALM, Large Eddy Simulation ...

Path planning is often a high-dimensional computationallyexpensive planning problem as it requires reasoning about the kinodynamic constraints of the robot and collisions of the robot with the environment. However, large regions of the environment are typically benign enough that a much faster low-dimensional planning combined with a local path following controller suffice. Planning with Adapti...

Path planning in the presence of dynamic obstacles is a challenging problem due to the added time dimension in the search space. In approaches that ignore the time dimension and treat dynamic obstacles as static, frequent re-planning is unavoidable as the obstacles move, and their solutions are generally sub-optimal and can be incomplete. To achieve both optimality and completeness, it is neces...

—Steerable needles can be used in medical applications to reach targets behind sensitive or impenetrable areas. The kinematics of a steerable needle are nonholonomic and, in 2D, equivalent to a Dubins car with constant radius of curvature. In 3D, the needle can be interpreted as an airplane with constant speed and pitch rate, zero yaw, and controllable roll angle. We present a constant-time mot...

Steerable needles can be used in medical applications to reach targets behind sensitive or impenetrable areas. The kinematics of a steerable needle are nonholonomic and, in 2D, equivalent to a Dubins car with constant radius of curvature. In 3D, the needle can be interpreted as an airplane with constant speed and pitch rate, zero yaw, and controllable roll angle.We present a constant-time motio...

Due to the complexity of the dental models in semantics of both shape and form, a fully automated method for the separation of the lower and upper teeth is unsuitable while manual segmentation requires painstakingly user interventions. In this paper, we present a novel interactive method to segment the upper and lower teeth. The process is performed on 3D triangular mesh of the skull and consis...