We present an end-to-end online motion planning framework that uses a data-driven
approach to navigate a heterogeneous robot team towards a global goal while avoiding …

Achieving highly accurate dynamic or simulator models that are close to the real robot can
facilitate model-based controls (eg, model predictive control or linear-quadradic regulators) …

The goal of this work is to formulate algorithms that can address three key ingredients I
believe are necessary towards making robots autonomous and smart:(1) The robot needs to …

Mobile robots rely on state estimation and mapping to perceive, plan, and navigate in the
real-world, but they face significant challenges when operating in unstructured …

This paper focuses on the verification of an object detection and avoidance method for
autonomous vehicles to maneuver their way safely and efficiently. The model predictive …