Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A reconfigurable mesh (RMESH) can be used to compute robotic paths in the presence of obstacles, where the robot and obstacle images are represented and processed in mesh processors. For a non-point-like robot,  can compute the so-called "configuration space" to expand the obstacles, so that the robot can be reduced to a reference point to facilitate the robot's motion planning. ,  present algorithms to compute the configuration space in a reconfigurable mesh that contains sparsely distributed faulty processors. Robots of rectangular and circular shapes are treated. It is seen that, in terms of computing the configuration space, a reconfigurable mesh can tolerate faulty processors without much extra cost-the computation takes the optimal O(1) time in both fault-free and faulty reconfigurable meshes.
['John Jenq', 'Dajin Wang']
I am writing a research paper on a idea Parallel computation of configuration space on reconfigurable mesh with faults
[{"from": "human", "value": "I am writing a research paper on a idea Parallel computation of configuration space on reconfigurable mesh with faults"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A reconfigurable mesh (RMESH) can be used to compute robotic paths in the presence of obstacles, where the robot and obstacle images are represented and processed in mesh processors. For a non-point-like robot,  can compute the so-called \"configuration space\" to expand the obstacles, so that the robot can be reduced to a reference point to facilitate the robot's motion planning. ,  present algorithms to compute the configuration space in a reconfigurable mesh that contains sparsely distributed faulty processors. Robots of rectangular and circular shapes are treated. It is seen that, in terms of computing the configuration space, a reconfigurable mesh can tolerate faulty processors without much extra cost-the computation takes the optimal O(1) time in both fault-free and faulty reconfigurable meshes."}]