Modelwire
Subscribe

ADAPT: Benchmarking Commonsense Planning under Unspecified Affordance Constraints

Researchers introduce DynAfford, a benchmark for testing embodied AI agents in environments where object affordances shift dynamically and aren't explicitly stated. The accompanying ADAPT module helps planners infer hidden preconditions and adjust actions in real-world scenarios where naive instruction-following fails.

MentionsDynAfford · ADAPT

Modelwire summarizes — we don’t republish. The full article lives on arxiv.org. If you’re a publisher and want a different summarization policy for your work, see our takedown page.

ADAPT: Benchmarking Commonsense Planning under Unspecified Affordance Constraints · Modelwire