Customer-obsessed science

As advanced RAG variants like GraphRAG and Agentic RAG emerge, one leading question is when and how to use them. Here, we introduce a framework for different RAG scenarios evaluation and comparison on semi-structured knowledge bases, including regular RAG, GraphRAG, Modular RAG and Agentic RAG. We provide implementation for 9 standardized RAG scenarios, and conduct experiments for a comprehensive comparison

Simulation models are widely used for decision support in manufacturing systems, yet their accuracy degrades over time as real-world operations evolve. Existing approaches to model maintenance rely heavily on manual diagnosis by domain experts, creating a bottleneck in sustaining model fidelity. This paper proposes a methodology for root cause attribution of simulation model drift using system logs and

The ability to push large objects in a goal-directed manner using onboard egocentric perception is an essential skill for humanoid robots to perform complex tasks such as material handling in warehouses. To robustly manipulate heavy objects to arbitrary goal configurations, the robot must cope with unknown object mass and ground friction, noisy onboard perception, and actuation errors; all in a real-time

The Rust programming language provides stronger guarantees about memory safety than C. Therefore, translating to the Rust programming language is one way to reduce security vulnerabilities. One common translation strategy is using LLM queries. We present an alternate agentic approach that gives an LLM freedom and guardrails. When programming in C, a programmer must manually manage memory and other resources

Vision-based navigation is important for autonomous legged robots, enabling semantic target search and inspection without dense maps or specialized sensors. However,existing goal-conditioned navigation methods often rely on pre-curated goal images, lack reliable stopping mechanisms, and are sensitive to detector noise and gait-induced camera perturbations. To address these limitations, we pro-pose a multi-phase