PhD Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

Whisker-Inspired Sensors for Unstructured Environments

NSH 4305

Abstract: Robots lack the perception abilities of animals, which is one reason they can not achieve complex control in outdoor unstructured environments with the same ease as animals. One cause of the perception gap is the constraints researchers place on the environments in which they test new sensors so algorithms can correctly interpret data from [...]

PhD Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

Differentiable Convex Modeling for Robotic Planning and Control

NSH 4305

Abstract: Robotic simulation, planning, estimation, and control, have all been built on top of numerical optimization. In this same time, modern convex optimization has matured into a robust technology delivering globally optimal solutions in polynomial time. With advances in differentiable optimization and custom solvers capable of producing smooth derivatives, convex modeling has become fast, reliable, [...]