3 citations · 3 across the 6 of their papers we have counts for
6 papers
Adaptive-Sliding Mode Trajectory Control of Robot Manipulators with Uncertainties
Mustafa M. Mustafa, Carl D. Crane, Ibrahim Hamarash
In this paper, we propose and demonstrate an adaptive-sliding mode control for trajectory tracking control of robot manipulators subjected to uncertain dynamics, vibration disturba…
Dedicated Nonlinear Control of Robot Manipulators in the Presence of External Vibration and Uncertain Payload
Mustafa M. Mustafa, Carl D. Crane, Ibrahim Hamarash
Robot manipulators are often tasked with working in environments with vibrations and are subject to load uncertainty. Providing an accurate tracking control design with implementab…
Longitudinal Control of Vehicles in Traffic Microsimulation
Shirin Noei, Xilei Zhao, Carl D. Crane
Current state-of-art traffic microsimulation tools cannot accurately estimate safety, efficiency, and mobility benefits of automated driving systems and vehicle connectivity becaus…
Control of Cooperative Unmanned Aerial Vehicles: Review of Applications, Challenges, and Algorithms
Arman Sargolzaei, Alireza Abbaspour, Carl D. Crane
A system of cooperative unmanned aerial vehicles (UAVs) is a group of agents interacting with each other and the surrounding environment to achieve a specific task. In contrast wit…
Joint Belief and Intent Prediction for Collision Avoidance in Autonomous Vehicles
Alan J. Hamlet, Carl D. Crane
This paper describes a novel method for allowing an autonomous ground vehicle to predict the intent of other agents in an urban environment. This method, termed the cognitive drivi…
Robotic Behavior Prediction Using Hidden Markov Models
Alan J. Hamlet, Carl D. Crane
There are many situations in which it would be beneficial for a robot to have predictive abilities similar to those of rational humans. Some of these situations include collaborati…