ALFRED

ALFRED is a benchmark dataset that evaluates the performance of embodied AI systems in coordinating navigation and manipulation tasks within complex indoor environments.

Papers using ALFRED (7)

On-Device Robotic Planning: Eliminating Inference Redundancy for Efficient Decision-Making2026RePlan-Bot: Multi-Level Replanning for Embodied Instruction Following2026ESCAPE: Episodic Spatial Memory And Adaptive Execution Policy For Long-horizon Mobile Manipulation2026Grounding Language Models With Semantic Digital Twins For Robotic Planning2025When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making2026ESCAPE: Episodic Spatial Memory and Adaptive Execution Policy for Long-Horizon Mobile Manipulation2026FlowPlan: Zero-Shot Task Planning with LLM Flow Engineering for Robotic Instruction Following2025