4 accepted papers
We present a novel framework for automated interior design that combines large language models (LLMs) with grid-based integer programming to jointly optimize room layout and furniture placement. Given a textual prompt, the LLM-driven agent workflow extracts structured design constraints related to r
Autonomous mobile robots increasingly rely on LiDAR–IMU odometry for navigation and mapping, yet horizontally mounted LiDARs (e.g., MID360) capture limited near-ground returns, reducing terrain awareness and degrading performance in feature-scarce environments. Prior solutions, such as static tilt, …
Conventional single LiDAR systems are inherently constrained by their limited field of view (FoV), leading to blind spots and incomplete environmental awareness, particularly on robotic platforms with strict payload limitations. Integrating a motorized LiDAR offers a practical solution by significan
Text-Attributed Graphs (TAGs) augment graph structures with natural language descriptions, facilitating detailed depictions of data and their interconnections across various real-world settings. However, existing TAG datasets predominantly feature textual information only at the nodes, with edges ty…