5 accepted papers
This paper presents AlignBot, a novel framework designed to optimize VLM-powered customized task planning for household robots by effectively aligning with user reminders. In domestic settings, aligning task planning with user reminders poses significant challenges due to the limited quantity, diver
Current approaches to integrating CLIP into language-driven robotics face a fundamental dilemma: While robotic implementations overlook cutting-edge 3D classification adaptations of CLIP, existing 3D-oriented CLIP methods prove inadequate for interpreting color-critical instructions prevalent in man
Real-world manipulation datasets for robotic arms remain scarce due to the high costs, rigid hardware dependencies, and complex setup procedures associated with existing data collection methods. We introduce, a redesigned Universal Manipulation Interface (UMI) that addresses these challenges, enabli…
In recent years, affordance detection has become essential for robotic manipulation in real-world scenes, where robots must autonomously interpret commands and perform actions. Current methods often focus on individual point cloud objects or simple semantic queries, limiting their effectiveness in d…
Generating layouts from textual descriptions by large language models (LLMs) plays a crucial role in precise spatial reasoning-induced domains such as robotic object rearrangement and text-to-image generation. However, current methods face challenges in limited real-world examples, handling diverse…