… Therefore, in this section, a globally optimal energy-based heuristic function is constructed
in the IK solving structure. Moreover, the optimal solutions are explored by drawing on the …

… complex environments, an efficient motion planning approach is … motion planning framework
is elaborately designed, including … in this paper, including global path planning, local path …

… heuristic trajectory and guarantee the probabilistic completeness of our algorithm. Then, we
optimize the heuristic … learning method into our global planner to guide the generation of the …

… This study explores the feasibility of meta-heuristic based approaches for motion planning
and … in global motion planning problems. PF, RRT and PRM are also utilised in local path …

… of a dynamic global planner in that it can be computed in real-time and account for the
dynamic capabilities of the robot, but the construction of the traversability map is highly heuristic, …

… path obtained by Theta* to accurately estimate the heuristic cost of the objective function,
rather than using the Euclidean distance directly as PTA does. Numerical simulations in …

… Meta-heuristic algorithms have turned out to be good … widely applied to many aircraft motion
planning problems. An optimal … -heuristic algorithms focusing on the aircraft motion planning …

… a sampling-based planner and deep learning for faster motion planning, focusing on heuristics.
The … problems; 1) CNNs can capture both global structures and local details of observed …

… , motion planning can be divided into global planning, local planning, and hybrid planning
[5… Particularly, a Theta*-like heuristics was adopted for global planning, and fuzzy decision-…

… a heuristic-guided multi-robot motion planning framework that … updated cost-to-go heuristics
to accelerate each agent’s inde… global plans and Timed Elastic Band (TEB) [36] planner as …