593 citations · 622 across the 6 of their papers we have counts for
7 papers
Generating Plans that Predict Themselves
Jaime F. Fisac, Chang Liu, Jessica B. Hamrick +4
Collaboration requires coordination, and we coordinate by anticipating our teammates' future actions and adapting to their plan. In some cases, our teammates' actions early on can…
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration
Chang Liu, Jessica B. Hamrick, Jaime F. Fisac +4
The study of human-robot interaction is fundamental to the design and use of robotics in real-world applications. Robots will need to predict and adapt to the actions of human coll…
Handling Model and Implementation Uncertainties via an Adaptive Discrete Sliding Mode Controller Design
Mohammad Reza Amini, Mahdi Shahbakhti, Selina Pan +1
Analog-to-digital conversion (ADC) and uncertainties in modeling the plant dynamics are the main sources of imprecisions in the design cycle of model-based controllers. These imple…
Discrete Adaptive Second Order Sliding Mode Controller Design with Application to Automotive Control Systems with Model Uncertainties
Mohammad Reza Amini, Mahdi Shahbakhti, Selina Pan +1
Sliding mode control (SMC) is a robust and computationally efficient solution for tracking control problems of highly nonlinear systems with a great deal of uncertainty. High frequ…
Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach
Shun Yang, Wenshuo Wang, Chang Liu +2
Deep learning-based approaches have been widely used for training controllers for autonomous vehicles due to their powerful ability to approximate nonlinear functions or policies.…
Development and Evaluation of Two Learning-Based Personalized Driver Models for Car-Following Behaviors
Wenshuo Wang, Ding Zhao, Junqiang Xi +2
Personalized driver models play a key role in the development of advanced driver assistance systems and automated driving systems. Traditionally, physical-based driver models with…