Robot Simulation

Least Commitment Planning for the Object Scouting Problem

TL;DR – This paper introduces a new planning framework specifically designed for object scouting with LOMDPs called the Scouting Partial-Order Planner (SPOP), which exploits the characteristics of partial order and regression planning to plan around gaps in knowledge the robot may have about the existence, location, and state of relevant objects in its environment.

Example of simple block stacking task performed in our LLM-OLP paper

Bootstrapping Object-level Planning with Large Language Models

TL;DR – This paper formalizes the concept of object-level planning and discusses how this level of planning naturally integrates with large language models (LLMs).