LHMP 2022, Part 8: Invited talk by Katherine Driggs-Campbell (University of Illinois)
4th Workshop on Long-term Human Motion Prediction (LHMP)
Part 8: Invited talk by Katherine Driggs-Campbell (University of Illinois)
Autonomous systems and robots are becoming prevalent in our everyday lives and changing the foundations of our way of life. However, the desirable impacts of autonomy are only achievable if the underlying algorithms can handle the unique challenges humans present. To design safe, trustworthy autonomy, we must transform how intelligent systems interact, influence, and predict human agents. In this talk, we'll discuss how inferring hidden states (e.g., driver traits, pedestrian intent, occluded agents) coupled with robust prediction methods can be used to improve decision-making and control in interactive settings. These methods are used to generate safe interactions between humans and mobile robots (sometimes with guarantees), which are demonstrated on fully equipped test vehicles and mobile robots.
IEEE International Conference on Robotics and Automation (ICRA),
May 23, 2022
https://motionpredictionicra2022.gith...