Bringing Robots Home: The Rise of AI Robots in Consumer Electronics
Haiwei Dong, Yang Liu, Ted Chu, Abdulmotaleb El Saddik
TL;DR
The paper addresses the integration of AI into domestic robotics, outlining hardware constituents and a roadmap for AI-enabled home operation. It discusses a convergence of multimodal AI, LLM-driven human-robot interaction, edge-cloud inference, and RLHF to enable perception, reasoning, and personalized assistance. Key contributions include a taxonomy of sensors and actuators, the role of sensory fusion, and a scalable, privacy-conscious architecture for cloud-edge collaboration. It also highlights challenges in communication, computation, safety, and ethics, advocating practices like red-teaming to mitigate risks. The economic perspective suggests substantial gains from automating household tasks, with notable macroeconomic implications.
Abstract
On March 18, 2024, NVIDIA unveiled Project GR00T, a general-purpose multimodal generative AI model designed specifically for training humanoid robots. Preceding this event, Tesla's unveiling of the Optimus Gen 2 humanoid robot on December 12, 2023, underscored the profound impact robotics is poised to have on reshaping various facets of our daily lives. While robots have long dominated industrial settings, their presence within our homes is a burgeoning phenomenon. This can be attributed, in part, to the complexities of domestic environments and the challenges of creating robots that can seamlessly integrate into our daily routines.