… A valid global solution to a multi-robot motion planning problem is an ordered set πglob = (π1,
… multi-robot motion planning problem. Here, we use the same heuristic functions described …

… requiring both view planning and motion planning tasks [116, 117]. View planning mainly
applies … [178] employed the D* lite re-planning algorithm as a global path planner to generate a …

… global solution which minimizes the sum of the costs for all vehicles. Given a multi-robot
motion planning … Here, we use the same heuristic functions described above, and the heuristic …

… , motion planning is one of the most challenging problems due to the large number of issues
that need to be addressed. The issues related to motion planning … As future work, the global …

… compute at each period a motion plan that asymptotically approaches the globally optimal
… uncertainty and uses a heuristic to efficiently adjust the prior best plan based on the latest …

… heuristic in improving the convergence rate of these algorithms is demonstrated in simulation
using two motion planning examples with different motion … to a global reference frame, and …

… heuristic, attempting to establish a connection between the trees and therefore solving the …
be a different state x ∈ V providing a better global path along the tree from xinit to xnew. This …

… The decisions to move the robot are taken using local criteria and heuristics to choose the
most promising directions. Consequently, the local methods are much faster. Unfortunately, …

… as both heuristic and non-heuristic … of global path planning, not local navigation techniques.
It does not cover sensor based motion planning techniques, planning algorithms which plan …

… the heuristic prediction by our CNN model appears globally consistent, … heuristic as CNNs
in the Hybrid A* algorithm), and robot arm motion planning (eg, learning sampling heuristics …