DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners?
Researchers have developed a new framework called DIRECT to optimize the allocation of computational resources for embodied AI planners. The system analyzes multimodal scene context to intelligently route compute, improving efficiency and reducing latency compared to fixed model selection strategies. Experiments on benchmarks and a physical robot arm demonstrated that DIRECT can achieve comparable or better success rates with significantly lower costs. AI
IMPACT Optimizes resource allocation for embodied AI, potentially enabling more efficient and cost-effective deployment of robotic systems.