Altered Thoughts, Altered Actions: Reasoning Chain as Contro
Overview
Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: Altered Thoughts, Altered Actions: Reasoning Chain as Control Surface for a Vision-Language-Action Policy. This research explores how reasoning chains in vision-language-action policies affect a robot's motor actions, demonstrating that they function as a control surface. By manipulating the reasoning chain and instruction in…
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- arXiv Robotics — research abstractsEvaluating Compound Robustness in Vision-Language-Action Policies
Study shows single-axis tests fail to capture compound robustness. LIBERO-CTRL benchmark reveals emergent failures and compensated successes. Aggregate success rates miss critical outcome changes.
- arXiv Robotics — research abstractsAltered Thoughts, Altered Actions: Reasoning Chain as Control Surface for a Vision-Language-Action Policy
This research explores how reasoning chains in vision-language-action policies affect a robot's motor actions, demonstrating that they function as a control surface. By manipulating the reasoning chain and instruction inputs, the study shows that text edits can repair or corrupt behavior. Using LIBERO simulations and DeepThinkVLA, the authors measure both repair and corruption effects, finding that a corrected reasoning chain recovers 47.8% of lost success, though still falling short of clean runs by 38.0%.
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