Team Idea
CHAMP TableOps is a voice-guided Physical AI system for bimanual robotic manipulation.
We are building an intelligent agent that can observe a simulated environment, understand natural-language and spoken instructions, reason about multi-step tasks, coordinate two robotic arms, execute actions, verify results, and automatically correct mistakes.
Our hackathon demonstration focuses on autonomous table setting using Intel’s Physical AI, robotics, VLA, OpenVINO, and simulation technologies. Speechmatics will provide real-time voice interaction.
Our core workflow is:
Perceive → Reason → Plan → Act → Verify → Correct
The goal is to demonstrate how multimodal AI can move beyond answering questions and safely perform useful physical tasks.
We welcome collaborators with experience in robotics, VLA models, MuJoCo, OpenVINO, Python, computer vision, multimodal AI, or agent development.
Team Members
Carnell Smith
carnellsmith59602
CTO
.png&w=256&q=75)
