Robot Task Planning
17 papers with code • 3 benchmarks • 6 datasets
Benchmarks
These leaderboards are used to track progress in Robot Task Planning
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Datasets
RLBench
PackIt
Synthetic Object Preference Adaptation Data
Taskography
SheetCopilot
Latest papers with no code
DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models
Recent advancements in Large Language Models (LLMs) have sparked a revolution across various research fields.
Natural Language as Policies: Reasoning for Coordinate-Level Embodied Control with LLMs
We demonstrate experimental results with LLMs that address robotics task planning problems.
Large Language Models for Robotics: Opportunities, Challenges, and Perspectives
Notably, in the realm of robot task planning, LLMs harness their advanced reasoning and language comprehension capabilities to formulate precise and efficient action plans based on natural language instructions.
How to Raise a Robot -- A Case for Neuro-Symbolic AI in Constrained Task Planning for Humanoid Assistive Robots
Humanoid robots will be able to assist humans in their daily life, in particular due to their versatile action capabilities.
SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning
To ensure the scalability of our approach, we: (1) exploit the hierarchical nature of 3DSGs to allow LLMs to conduct a 'semantic search' for task-relevant subgraphs from a smaller, collapsed representation of the full graph; (2) reduce the planning horizon for the LLM by integrating a classical path planner and (3) introduce an 'iterative replanning' pipeline that refines the initial plan using feedback from a scene graph simulator, correcting infeasible actions and avoiding planning failures.
You Don't Know When I Will Arrive: Unpredictable Controller Synthesis for Temporal Logic Tasks
This problem is particularly challenging since future information is involved in the synthesis process.
Robot Task Planning and Situation Handling in Open Worlds
This paper introduces a novel algorithm (COWP) for open-world task planning and situation handling that dynamically augments the robot's action knowledge with task-oriented common sense.
Using Human-Guided Causal Knowledge for More Generalized Robot Task Planning
We develop and test the feasibility of a language interface that na\"ive participants can use to communicate these causal models to a planner.
Task Planning in Robotics: an Empirical Comparison of PDDL-based and ASP-based Systems
PDDL is designed for task planning, and PDDL-based planners are widely used for a variety of planning problems.
Learning to Imagine Manipulation Goals for Robot Task Planning
Ideally, we would combine the ability of machine learning to leverage big data for learning the semantics of a task, while using techniques from task planning to reliably generalize to new environment.
