Introduction

I am looking forward to see more research into Rhythmic Catches and IMBO, to improve them, to see how well they work and to allow them to be more useful.

Software

Most importantly I think it would be useful to create a pattern generator for Rhythmic Catches and IMBO. This would allow jugglers to easily discover new patterns that are difficult to discover without these systems.

To see what we are generating or creating, it would be very useful to create a simulator for Rhythmic Catches and IMBO. With this we can visualize the notations without having to juggle them. The animated output could also be used for the purposes of teaching tricks, designing choreographies or even video art.

Juggling patterns in the real world

Because Rhythmic Catches and IMBO can easily create patterns that are very difficult to perform it would be interesting to also research how to make predictions on the difficulty and the performability of patterns. This could help improve these juggling generators.

Similarly, I think research into optimal juggling would be really useful for the simulation and physical execution of body throws. What is the best possible position to do a throw in a certain notation? Right now jugglers discover this through trial and error, but perhaps by building upon the work of Jack Kalvan we can streamline this process and apply it to our simulations too.

Expanding and improving Rhythmic Catches and IMBO

Rhythmic Catches and IMBO can be improved or expanded. I’ve already written about their limitations, and also expressed some specific desires of improvements on the pages of Rhythmic Catches and IMBO.

One particular expansion I’d like to see would be a notation that describes the rotation and orientation of props in a simple manner, which can be combined with Rhythmic Catches and IMBO.

Usability

How well can IMBO and Rhythmic Catches be used, and in what contexts? I would look forward to seeing usability studies to test how easily these systems are learnt and applied by jugglers. A study would show some of the systems' strengths and weaknesses and information about this could help improve future versions of the systems. If the systems are indeed effective it can serve as another justification for promoting these systems.