[PDF][PDF] Planning for autonomous cars that leverage effects on human actions.
Traditionally, autonomous cars make predictions about other drivers' future trajectories, and
plan to stay out of their way. This tends to result in defensive and opaque behaviors. Our key …
plan to stay out of their way. This tends to result in defensive and opaque behaviors. Our key …
Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state
Traditionally, autonomous cars treat human-driven vehicles like moving obstacles. They
predict their future trajectories and plan to stay out of their way. While physically safe, this …
predict their future trajectories and plan to stay out of their way. While physically safe, this …
Courteous autonomous cars
Typically, autonomous cars optimize for a combination of safety, efficiency, and driving
quality. But as we get better at this optimization, we start seeing behavior go from too …
quality. But as we get better at this optimization, we start seeing behavior go from too …
Efficient and trustworthy social navigation via explicit and implicit robot–human communication
In this article, we present a planning framework that uses a combination of implicit (robot
motion) and explicit (visual/audio/haptic feedback) communication during mobile robot …
motion) and explicit (visual/audio/haptic feedback) communication during mobile robot …
Driving with style: Inverse reinforcement learning in general-purpose planning for automated driving
S Rosbach, V James, S Großjohann… - 2019 IEEE/RSJ …, 2019 - ieeexplore.ieee.org
Behavior and motion planning play an important role in automated driving. Traditionally,
behavior planners instruct local motion planners with predefined behaviors. Due to the high …
behavior planners instruct local motion planners with predefined behaviors. Due to the high …
Safe, multi-agent, reinforcement learning for autonomous driving
S Shalev-Shwartz, S Shammah, A Shashua - arXiv preprint arXiv …, 2016 - arxiv.org
Autonomous driving is a multi-agent setting where the host vehicle must apply sophisticated
negotiation skills with other road users when overtaking, giving way, merging, taking left and …
negotiation skills with other road users when overtaking, giving way, merging, taking left and …
Integrating intuitive driver models in autonomous planning for interactive maneuvers
K Driggs-Campbell, V Govindarajan… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Given the current capabilities of autonomous vehicles, one can easily imagine autonomous
vehicles being released on the road in the near future. However, it can be assumed that this …
vehicles being released on the road in the near future. However, it can be assumed that this …
Socially compliant mobile robot navigation via inverse reinforcement learning
Mobile robots are increasingly populating our human environments. To interact with humans
in a socially compliant way, these robots need to understand and comply with mutually …
in a socially compliant way, these robots need to understand and comply with mutually …
Human-aware task planning: An application to mobile robots
Consider a house cleaning robot planning its activities for the day. Assume that the robot
expects the human inhabitant to first dress, then have breakfast, and finally go out. Then, it …
expects the human inhabitant to first dress, then have breakfast, and finally go out. Then, it …
Time dependent planning on a layered social cost map for human-aware robot navigation
As robots make their way into our everyday lives, new behavioral concepts are needed to
assure their acceptance as interaction partners. In the presence of humans, robots are …
assure their acceptance as interaction partners. In the presence of humans, robots are …