PlaMo: Plan and Move in Rich 3D Physical Environments

June 26, 2024 Β· Declared Dead Β· πŸ› ECCV Workshops

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Authors Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik arXiv ID 2406.18237 Category cs.AI: Artificial Intelligence Cross-listed cs.GR, cs.RO Citations 1 Venue ECCV Workshops Last Checked 4 months ago
Abstract
Controlling humanoids in complex physically simulated worlds is a long-standing challenge with numerous applications in gaming, simulation, and visual content creation. In our setup, given a rich and complex 3D scene, the user provides a list of instructions composed of target locations and locomotion types. To solve this task we present PlaMo, a scene-aware path planner and a robust physics-based controller. The path planner produces a sequence of motion paths, considering the various limitations the scene imposes on the motion, such as location, height, and speed. Complementing the planner, our control policy generates rich and realistic physical motion adhering to the plan. We demonstrate how the combination of both modules enables traversing complex landscapes in diverse forms while responding to real-time changes in the environment. Video: https://youtu.be/wWlqSQlRZ9M .
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