Four core stages of development have been proposed:

1. Simple Rigid Body Motion
   • Detection and segmentation of rigid body movements
2. Articulated Rigid Body Motion
   • Identification of articulation network within simple rigid movements
   • Apply learned system to improve detection speed for on-line segmentation and dynamic updating
3. Visualization of Morphometrics
   • Information visualization of the movements observed within the articulated system
   • Movements including: rotation, direction, velocity, acceleration, etc.
4. Validation on Real World Data
   • Handle input from potentially noisy RGB-D cameras
   • Focus on examples with rigid articulations (eg. crustaceans, back hoe, robotics objects, etc.)
   • Apply cursory evaluation of soft-body examples to illustrate future directions