SID is a decentralized planner that reuses a constraint-aware diffusion model to simulate neighbors' trajectories and then generate collision-free own paths, enabling minimal communication and scaling to 108 robots.
Jacob K Christopher, Stephen Baek, and Ferdinando Fioretto
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper adapts prior reflection frameworks into an eight-indicator scheme for software engineering and validates fine-tuned encoder-only transformers that classify student reflections with human-level agreement on most indicators.
citing papers explorer
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Simulation-Informed Diffusion for Decentralized Multi-robot Motion Planning
SID is a decentralized planner that reuses a constraint-aware diffusion model to simulate neighbors' trajectories and then generate collision-free own paths, enabling minimal communication and scaling to 108 robots.
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Identifying Quality Indicators in Student Self-Reflections in Software Engineering
The paper adapts prior reflection frameworks into an eight-indicator scheme for software engineering and validates fine-tuned encoder-only transformers that classify student reflections with human-level agreement on most indicators.