We formulate and solve an appearance-aware impulsive trajectory optimisation problem by implementing a novel differentiable Lambert problem solver, using Blender-in-the-loop as an appearance model and using gradient-based optimisation.

We augment a conventional universal gripper with a computer-controllled audio exciter to show it can improve holding strength. We build an automated test rig to allow large-scale data collection to explore the effects of active vibration.