This paper documents a large scale, long-term autonomy dataset for robotics research
collected on the University of Michigan's North Campus. The dataset consists of …

This paper presents a Learning-based Nonlinear Model Predictive Control (LB-NMPC)
algorithm for an autonomous mobile robot to reduce path-tracking errors over repeated …

We present Nav2Goal, a data-efficient and end-to-end learning method for goal-conditioned
visual navigation. Our technique is used to train a navigation policy that enables a robot to …

Urban search and rescue (USAR) missions for mobile robots require reliable state
estimation systems resilient to conditions given by the dynamically changing environment …

This paper presents a path-repeating, mobile robot controller that combines a feedforward,
proportional Iterative Learning Control (ILC) algorithm with a feedback-linearized path …

Nowadays, most agricultural robots rely on precise and expensive localisation, typically
based on global navigation satellite systems (GNSS) and real-time kinematic (RTK) …

The objective of this paper is to develop a vision-based navigation technique for micro aerial
vehicles, quadrotor type, to operate in GPS-denied environment. The navigation method has …

Growing a network of reusable paths is a novel approach to navigation that allows a mobile
robot to autonomously seek distant goals in unmapped, GPS‐denied environments, which …

This full paper of the research category describes the ERPLab as an innovative educational
platform that aims to promote inclusivity and diversity in programming and robotics. It …

ABSTRACT A network of reusable paths (NRP) allows for a new approach to planetary
surface exploration using a mobile robot. NRP gives the robot the ability to accurately return …