Robot Task Planning
17 papers with code • 3 benchmarks • 6 datasets
Datasets
Most implemented papers
TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs
3D scene graphs (3DSGs) are an emerging description; unifying symbolic, topological, and metric scene representations.
BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment
We introduce BusyBoard, a toy-inspired robot learning environment that leverages a diverse set of articulated objects and inter-object functional relations to provide rich visual feedback for robot interactions.
Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions
Despite recent success in large language model (LLM) reasoning, LLMs struggle with hierarchical multi-step reasoning tasks like generating complex programs.
Robot Task Planning Based on Large Language Model Representing Knowledge with Directed Graph Structures
Traditional robot task planning methods face challenges when dealing with highly unstructured environments and complex tasks.
REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction
The ability to detect and analyze failed executions automatically is crucial for an explainable and robust robotic system.
Vision-Language Interpreter for Robot Task Planning
By generating PDs from language instruction and scene observation, we can drive symbolic planners in a language-guided framework.
Sequential Planning in Large Partially Observable Environments guided by LLMs
Heuristic methods, like monte-carlo tree search, though effective for large state space, but struggle if action space is large.