Benchmark Radar
AI BENCHMARK PROFILE

WorldLines

Robotics & Autonomous SystemsRobotics & Embodied Intelligence

WorldLines evaluates long-horizon stateful embodied agents in household environments through Memory QA and Embodied Task Planning, using temporally extended household traces with dialogues and state changes.

Released
2026-06-17
Readiness
Paper only
Primary field
Robotics & Autonomous Systems

Why it matters

Existing benchmarks lack evaluation of long-term memory in dynamic embodied settings; WorldLines fills this gap by testing both memory retrieval and planning over extended interactions.

Motivation

To assist humans over extended periods in real homes, embodied agents must remember user routines, world states, and past interactions.

Primary resources

Benchmark Radar records only publicly supported details and links back to primary sources for verification.