Despite decades of research, existing navigation systems still face real-world challenges when deployed in the wild, eg, in cluttered home environments or in human-occupied public …
X Xiao, J Biswas, P Stone - IEEE Robotics and Automation …, 2021 - ieeexplore.ieee.org
This letter presents a learning-based approach to consider the effect of unobservable world states in kinodynamic motion planning in order to enable accurate high-speed off-road …
H Karnan, KS Sikand, P Atreya… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
One of the key challenges in high-speed off-road navigation on ground vehicles is that the kinodynamics of the vehicle-terrain interaction can differ dramatically depending on the …
A slip-aware localization framework is proposed for mobile robots experiencing wheel slip in dynamic environments. The framework fuses infrastructure-aided visual tracking data (via …
In this paper, the coupled longitudinal and lateral control of the mobile agricultural robot “Agri-Eco-Robot''is addressed. As a first step, the Newton's law is used to develop the …
S Rabiee, J Biswas - Conference on Robot Learning, 2021 - proceedings.mlr.press
Existing solutions to visual simultaneous localization and mapping (V-SLAM) assume that errors in feature extraction and matching are independent and identically distributed (iid) …
CW Zhu, E Hill, M Biglarbegian, SA Gadsden… - Robotics and …, 2023 - Elsevier
The agricultural domain has been experiencing extensive automation interest over the past decade. The established process for measuring physiological and morphological traits …
Perception algorithms that provide estimates of their uncertainty are crucial to the development of autonomous robots that can operate in challenging and uncontrolled …
While the workspace of traditional ground vehicles is usually assumed to be in a 2D plane, ie, SE (2), such an assumption may not hold when they drive at high speeds on unstructured …