Cross-cutting themes

The lab­o­ra­to­ry focus­es on three cross-cut­ting, inter-team research challenges:

Safety, Uncertainty, Decision-Making

• CID: deci­sion sup­port under uncer­tain­ty, uncer­tain­ty quan­tifi­ca­tion in AI, robust AI
• SCOP: depend­abil­i­ty, deci­sion sup­port, robust optimization
• SyRI: safe nav­i­ga­tion and plan­ning, robot­ic per­cep­tion, robust con­trol and estimation

AI, Learning, Optimization

• CID: sta­tis­ti­cal learn­ing, trans­fer learn­ing, log­i­cal rea­son­ing, game theory
• SCOP: links between AI and opti­miza­tion (CSP, con­straint pro­gram­ming), sys­tem depend­abil­i­ty with AI-based components
• SyRI: learn­ing for per­cep­tion, pre­dic­tive con­trol, opti­mal estimation

Human–Machine Interaction

• CID: immer­sive envi­ron­ments, pref­er­ence and expert knowl­edge elic­i­ta­tion, active learn­ing, adap­tive sys­tems, explainability
• SCOP: sys­tem depend­abil­i­ty in human–autonomous sys­tem inter­ac­tion, human reliability
• SyRI: shared con­trol, mixed real­i­ty, teleoperation