… and parameter uncertainties during HMC driving. The contributions are as … autonomous
vehicles based on a reference model. This method allows the driver and the autonomous driving …

… among them, and the level of autonomy and adaptability of robots that can be trained for …
between humans and robots along the lines of SAEs guidelines for autonomous vehicles in …

… We tackle the problem of autonomous driving in mixed-autonomy environments where
autonomous vehicles interact with vehicles driven by humans. We incorporate a cooperative …

… of automated driving. More specifically, we discuss responsible human-robot coordination
… : ie traffic involving both automated cars and conventional human-driven cars. We do three …

… study analyzes the teaming and collaboration between the two intelligent agents (human
and vehicle), and the term “vehicle autonomy” is used to represent the intelligent vehicles. The …

… use of multilevel autonomy such as autonomous driving [18], … human trust in autonomy is
another essential aspect to be considered when developing effective humanrobot collaboration …

… +, a hierarchical human-robot cooperation architecture designed to provide collaborative
robots with an extended degree of autonomy when supporting human operators in high-…

… on how robot cars should balance … Humanrobot collision avoidance using a modified social
force model with body pose and face orientation,” International Journal of Humanoid Robotics…

… Should the autonomous car predict that this human will stop—so … autonomous cars that
model humans as Risk-Aware are better able to explain and anticipate the behavior of human …

… intelligence that is required for fully autonomous vehicles will impact on how trust develops
in the entanglement of the human and non-human actors in autonomous driving in real-world …