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2 accepted papers

2026

TARAD: Task-Aware Robot Affordance-Centric Diffusion Policy Learned from LLM-Generated Demonstrations

ICRA 2026poster

In open-ended task settings, the ability of a robot to execute diverse tasks accurately by following language instructions is critical. Methods based on traditional imitation learning typically depend on extensive expert demonstrations and often struggle to generalize in the case of unseen scenarios…

Cited by 0SourceScholar
2025

TARAD: Task-Aware Robot Affordance-Centric Diffusion Policy Learned From LLM-Generated Demonstrations

RA-L 2025

In open-ended task settings, the ability of a robot to execute diverse tasks accurately by following language instructions is critical. Methods based on traditional imitation learning typically depend on extensive expert demonstrations and often struggle to generalize in the case of unseen scenarios

Cited by 0SourceScholar