CareBotix in Motion II: Advanced Robotic Manipulation, Navigation, and Social Interaction

Overview

By 2052, one quarter of the population will be over the age of 65, with adults over 85 the fastest growing segment. Supporting older adults to age well is a national priority. This project extends the CareBotix system into a platform-agnostic robotic architecture integrating manipulation, navigation, social interaction, multimodal AI. Manipulation was tested on object-handling tasks using the Isaac GR00T framework, achieving 93–100% task success and low joint-trajectory variance. Navigation used Isaac ROS for indoor localization and the Cosmos-Reason2-2B reasoning LLM for goal interpretation and adaptive planning; Isaac ROS built a stable map in 10 seconds, maintained 5–10 cm localization error, tracked 800–1,200 features per frame. Human–robot interaction used a multimodal MiniLM AI model achieving state of the art results in conversational AI latency and emotion classification. Results show a modular architecture is scalable while delivering robust manipulation, reliable navigation, naturalistic interactions-key for user acceptance.

Awards (4)

• Young Scientist Award
• Challenge Award
• Gold Medal
• Selected for CWSF 2026

Competition history

• CWSF 2026 Digital Technology

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