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BDRL-UP-8: Artificial Intelligence Methods for Robotic Planning Problem Statement The aim of this project is robotic planning using two AI methods, LTL (Linear Temporal Logic) and POP (Partial Order Planning), in a simulation environment. Project Description In this project, there are three main tasks, choosing a simulation environment, robotic planning using AI methods and running robotic plans in the simulation environment. 1) Choosing a Simulation Environment First part of the project is choosing a simulation environment which is appropriate for LTL and POP. It is also an option to implement your own simulation environment with OpenGL. 2) Robotic Planning Using AI Methods In this part, you will construct some robotic plans such as motion planning, resource planning.. etc. using LTL and POP. To this end, you will need to make a background on LTL and POP. You will not be alone to define these planning problems, we will form this problems together. 3) Running Robotic Plans in the Simulation Environment After constructing of LTL and POP plans, you will run these plans on the simulation environment. The main problem of this part is how to connect between the simulation environment and constructed plans. Expected Project Outcomes End of the project, there should be a robotic simulation environment where we can run some robotic plans of LTL and POP in the simulation. Optional Extras If you have time after finishing this project, you can also run Prolog plans that exist in the simulation environment and compare its performance with the performance of this project. Desired Skills / Background For this project, we are looking for one or two CS students. It is an extra if you took AI course. For more information: Sıtar Kortik, [email protected]