Pragmatic Embodied Spoken Instruction Following in Human-Robot Collaboration with Theory of Mind

Formerly listed as SIFToM, this paper models spoken instruction following as goal inference under uncertainty. For applied scientist review, this ICRA 2026 paper is most relevant as embodied AI evidence: it connects language, perception, Bayesian inverse planning, and behavior evaluation in simulated and real-world robot task settings.