Please read carefully the questions and fill out the followi…
Please read carefully the questions and fill out the following blank. The Occupancy Grid Mapping (OGM) method represents an environment as a 2D grid of a robot, where each grid cell has a probability value that indicates whether it is occupied, free, or unknown. Binary random variables are used for calculation of OGM as follows in figure. As the robot gathers new data, the probability values of each cell are updated through Bayesian update, occupied cells increase their probability if a sensor detects an obstacle. OGM will take __________________ in OGM algorithm to calculate and handle uncertainty in sensor measurements effectively.
Read DetailsLarge question: In the path planning of a robot, potentials…
Large question: In the path planning of a robot, potentials are expressed in Cartesian workspace of the robot. Obstacles which have to be avoided are surrounded by repulsive potential fields and the goal point is surrounded by an attractive field. These potentials are added to form a composite potential. The robot moves in this field of form as shown as follows. Figure. Force in the artificial potential field Figure. The local minimum situation in a 1D case.
Read DetailsCarefully read the statement and determine whether it is tru…
Carefully read the statement and determine whether it is true (T) or false (F). The high computational demands of distance transform and skeletonization methods render them impractical for large-scale maps, prompting the development of more efficient probabilistic approaches. Among these, the probabilistic roadmap (PRM) method stands out as one of the most widely recognized techniques. This model randomly samples the workspace to address computational limitations effectively.
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