Robo-Blocks is an LLM-augmented block-based tool that supplies generative scaffolding via structured narratives; a deployment study with novices surfaced user personas, usage patterns, and design insights for integrating such scaffolding into social-robot programming practice.
Llms for coding and robotics education
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A PPO-based RL framework with execution-aware dense rewards and token-level mapping improves pass@1 by 19% on MBPP and reduces execution failures by 51% on RoboEval for LLM code generation.
citing papers explorer
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Robo-Blocks: Generative Scaffolding in End-User Design and Programming of Social Robots
Robo-Blocks is an LLM-augmented block-based tool that supplies generative scaffolding via structured narratives; a deployment study with novices surfaced user personas, usage patterns, and design insights for integrating such scaffolding into social-robot programming practice.
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Domain-Adaptable Reinforcement Learning for Code Generation with Dense Rewards
A PPO-based RL framework with execution-aware dense rewards and token-level mapping improves pass@1 by 19% on MBPP and reduces execution failures by 51% on RoboEval for LLM code generation.