ProgressCompass: Embodied Progress Reward Models Are Lost Without the Right Context

arXiv:2609.36684 · cs.CL · Submitted 2026-09-29 · Read on arXiv

cs.CL

Submitted: 2026-09-29

Updated: 2026-09-29

Project page: https://andyzworks.github.io/progresscompass

Terminology

• Progress Reward Model — 12× in this paper
• Benchmark — 10× in this paper · explained in 2 episodes
• Verifier — 8× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 6× in this paper
• Verification — 5× in this paper · explained in 2 episodes
• Agentic Loop — 4× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Frozen model — 2× in this paper · explained in 3 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Affordance — 1× in this paper · explained in 1 episode
• Agentic Task — 1× in this paper · explained in 1 episode
• Agentic Tasks — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• In Conference on Robot Learning — 1× in this paper
• Task Planning — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes

Sources

• TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics
• RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies
• RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design
• Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring
• WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models
• Learning Agent-Compatible Context Management for Long-Horizon Tasks
• Progress Reward Modeling for Robotic Learning: A Comprehensive Survey
• Memory as Action: Autonomous Context Curation for Long-Horizon Agentic Tasks

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