PhD Proposal: Learning-based Motion Planning for High-DOF Robot Systems

High-DOF robot systems are increasingly used for different applications. These systems include soft robots with deformable joints, which have a high-dimensional configuration space. Other scenarios correspond to articulated robots interacting with highly deformable objects like cloth or deformable environments like fluids. In this proposal, we focus on designing a general learning-based framework for accurate and flexible High-DOF robot systems.

Examining Committee

Chair:

Dr. Dinesh Manocha

Department Representative:

Dr. John Aloimonos

Members:

Dr. Huaishu Peng

Dr. John Aloimonos