Work with Fred Labrosse on autonomous off-road driving.
Is 'walking' a useful way of getting around on Mars?
My PhD thesis, exploring the UESMANN neural network architecture which can learn two (or possibly more) functions in a single set of weights and can be trained using gradient descent.
A look at how well UESMANN performs in a homeostatic robot problem.
A simple method for balancing motor load in wheeled rovers using a simulation of cytokine mediated allodynia: simply put, when a particular wheel motor "gets sore" (i.e. has a high operating temperature) the rover lowers the power to it.
Comparing two walking gaits with normal rolling on a Mars simulant surface, using leg deployment motors on a rover modelled after the ExoMars chassis. An artificial endocrine system is used to switch gaits, which are implemented with a Brooks …