8 accepted papers
This study presents an Actor-Critic Cooperative Compensated Model Predictive Controller <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\text{AC}^3 \text{MPC})$</tex> designed to address unknown system dynamics. To avoid the difficulty of modeling hig
In this study, we proposed a dynamic model that could quantify human comfort in autonomous vehicles (AVs) based on vehicular behaviors and a Kalman filter (KF) based approach to further refine comfort level estimation by leveraging physiological signals. The dynamic model could capture the dynamics…
Autonomous vehicles usually consume a large amount of computational power for their operations, especially for the tasks of sensing and perception with artificial intelligence algorithms. Such a computation may not only cost a significant amount of energy but also cause performance issues when the o…
Human-robot collaborative assembly consists of humans and automated robots, who cooperate with each other to accomplish complex assembly tasks, which are difficult for either humans or robots to accomplish alone. There has been some success in statistics-based and optimization-based approaches to re…
Fully connected and automated vehicles have been envisioned to help improve the driving safety and efficiency of the transportation system. However, human-driven vehicles will still be present in the near future, which will lead to connected mixed traffic instead of fully connected and automated tra…
Human-multi-robot collaboration is becoming more and more common in intelligent manufacturing. Optimal assembly scheduling of such systems plays a critical role in their production efficiency. Existing approaches mostly consider humans as agents with assumed or known capabilities, which leads to sub…
Understanding the behaviors of human-driven vehicles such as acceleration and braking are critical for the safety of the near-future mixed transportation systems which involve both automated and human-driven vehicles. Existing approaches in modeling human driving behaviors including driver-model-bas…
In this paper, two techniques have been presented for slippage detection. They are independent of sensor signal type and are promising for general use on tactile array sensors. The first method is based on frequency analysis of the correlation coefficient sequence of sensor array data sampled as tim…