Research Paper#Embodied AI, Visual Planning, Video Diffusion Models, Robotics🔬 ResearchAnalyzed: Jan 3, 2026 19:49
Envision: Goal-Driven Visual Planning for Embodied Agents
Analysis
This paper introduces Envision, a novel diffusion-based framework for embodied visual planning. It addresses the limitations of existing approaches by explicitly incorporating a goal image to guide trajectory generation, leading to improved goal alignment and spatial consistency. The two-stage approach, involving a Goal Imagery Model and an Env-Goal Video Model, is a key contribution. The work's potential impact lies in its ability to provide reliable visual plans for robotic planning and control.
Key Takeaways
- •Proposes Envision, a diffusion-based framework for embodied visual planning.
- •Uses a two-stage approach: Goal Imagery Model and Env-Goal Video Model.
- •Explicitly incorporates a goal image to improve goal alignment and spatial consistency.
- •Demonstrates superior performance compared to baselines on object manipulation and image editing benchmarks.
- •Provides visual plans that can directly support robotic planning and control.
Reference
““By explicitly constraining the generation with a goal image, our method enforces physical plausibility and goal consistency throughout the generated trajectory.””