Orientation information is recoverable from MLLM visual encoder embeddings via linear regression, contradicting the hypothesis that failures originate in the encoders.
Embodied-reasoner: Synergizing visual search, reasoning, and action for embodied interactive tasks
3 Pith papers cite this work. Polarity classification is still indexing.
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The Estimate-Verify-Update (EVU) mechanism reduces belief inertia in embodied agents and raises task success rates on three benchmarks.
RoboAgent chains basic vision-language capabilities inside a single VLM via a scheduler and trains it in three stages (behavior cloning, DAgger, RL) to improve embodied task planning.
citing papers explorer
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Why MLLMs Struggle to Determine Object Orientations
Orientation information is recoverable from MLLM visual encoder embeddings via linear regression, contradicting the hypothesis that failures originate in the encoders.
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Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied Agents
The Estimate-Verify-Update (EVU) mechanism reduces belief inertia in embodied agents and raises task success rates on three benchmarks.
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RoboAgent: Chaining Basic Capabilities for Embodied Task Planning
RoboAgent chains basic vision-language capabilities inside a single VLM via a scheduler and trains it in three stages (behavior cloning, DAgger, RL) to improve embodied task planning.