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Enabling Waypoint Generation for Collaborative Robots using LLMs and Mixed Reality

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arxiv 2403.09308 v2 pith:UGGEPXIG submitted 2024-03-14 cs.HC cs.RO

Enabling Waypoint Generation for Collaborative Robots using LLMs and Mixed Reality

classification cs.HC cs.RO
keywords robotgenerationframeworklanguageprogrammingrealitytaskuser
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Programming a robotic is a complex task, as it demands the user to have a good command of specific programming languages and awareness of the robot's physical constraints. We propose a framework that simplifies robot deployment by allowing direct communication using natural language. It uses large language models (LLM) for prompt processing, workspace understanding, and waypoint generation. It also employs Augmented Reality (AR) to provide visual feedback of the planned outcome. We showcase the effectiveness of our framework with a simple pick-and-place task, which we implement on a real robot. Moreover, we present an early concept of expressive robot behavior and skill generation that can be used to communicate with the user and learn new skills (e.g., object grasping).

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  1. ORCESTRA: VLM-driven Visual Robot programming in Mixed Reality

    cs.RO 2026-08 conditional novelty 6.0

    A mixed-reality system combines no-code waypoint teaching and VLM-guided language control for programming heterogeneous robot digital twins with confirmation-gated execution.