People

Decision making under uncertainty

Black box safety validation

Safe interactions of autonomous systems (Toyota)

Scene understanding and decision making (Honda)

Multiagent scheduling, planning, and control (Siemens)

Imitation learning

Planning under uncertainty for haptics

Urban air mobility (Airbus)

Deep learning for automotive perception (Ford)

Probabilistic airspace modeling

Graph neural networks for reinforcement learning

Dynamic resource allocation (SEA)

Validation of autonomous systems

Model predictive control

Autonomous subterranean exploration

Probabilistic safe sets (Toyota)

Autonomous subterranean exploration

Machine learning for safety validation (Allstate)

Planning under uncertainty for autonomous robots (NASA)

Multi-robot navigation

Uncertainty calibration of neural networks

Ethics of automated driving

Computational intelligence, task-level robotics, and multiagent systems

Multi-agent deep reinforcement learning

Safety and verification in learning algorithms

Machine learning and data science