Princeton's AgenticGenTAMP Synthesizes Robot Planning Policies With Coding Agents

Princeton's Tom Silver group, with CMU and Cambridge, released AgenticGenTAMP, a study using coding agents to synthesize reusable programmatic policies for task-and-motion planning, evaluated across 28 simulated environments.

2026-09-25 ~ 2026-09-25 · 2 related posts

• Princeton-led work uses coding agents to synthesize reusable policies for generalized task and motion planning — tomssilver · 2026-09-25
• AgenticGenTAMP: coding agents synthesize reusable robot TAMP policies across 28 envs — tomssilver · 2026-09-25