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If ROS had solved most problems in mobile robotics, we'd have waaaaaaaaay many more robots deployed in this world ;-) Even though ROS is extremely useful, it is just not correct to say that "most of the problems have already been solved" by it. I would agree that ROS has a good start on virtually all of the things you need to put together a robotics application...but both the field of robotics and ROS are too young to say that ROS is mostly complete.
As Dave mentioned, if you're looking for problems to solve in mobile robotics, they are endless. Just looking at hector_slam -- even though I've never used it I would bet that there's tons in just that one package that can be improved. Think of the following questions:
Everything in ROS can be improved in some manner, whether it be computational performance, robustness in the face of bad sensor data, cleaning up code, or adding documentation.
Personally I would take the approach of trying to improve what is most interesting/useful to myself. If you need a package and it exists - use it and improve it as needed. If it doesn't exist - write it. Sounds like you're interested in SLAM -- get a robot with a 3D sensor up and running and try the different SLAM packages in ROS. Evaluate how each one works, figure out the tradeoffs, and then see how you modify the code to improve it. If you think you can improve it, fork the repository on GitHub, make your changes, and then pull request to the original author to see if they will merge them.