Task Planning

76 papers with code • 0 benchmarks • 1 datasets

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Most implemented papers

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models

tri-ml/prismatic-vlms 12 Feb 2024

Visually-conditioned language models (VLMs) have seen growing adoption in applications such as visual dialogue, scene understanding, and robotic task planning; adoption that has fueled a wealth of new models such as LLaVa, InstructBLIP, and PaLI-3.

PlanSys2: A Planning System Framework for ROS2

IntelligentRoboticsLabs/ros2_planning_system 1 Jul 2021

Autonomous robots need to plan the tasks they carry out to fulfill their missions.

ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning

zhehuazhou/isr-llm 26 Aug 2023

Motivated by the substantial achievements observed in Large Language Models (LLMs) in the field of natural language processing, recent research has commenced investigations into the application of LLMs for complex, long-horizon sequential task planning challenges in robotics.

Kinematic-aware Prompting for Generalizable Articulated Object Manipulation with LLMs

gewu-lab/llm_articulated_object_manipulation 6 Nov 2023

Generalizable articulated object manipulation is essential for home-assistant robots.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

mobilellm/personal_llm_agents_survey 10 Jan 2024

Next, we discuss several key challenges to achieve intelligent, efficient and secure Personal LLM Agents, followed by a comprehensive survey of representative solutions to address these challenges.

EARBench: Towards Evaluating Physical Risk Awareness for Task Planning of Foundation Model-based Embodied AI Agents

zihao-ai/earbench 8 Aug 2024

The emergence of foundation models as the "brain" of EAI agents for high-level task planning has shown promising results.

Visual Robot Task Planning

jhu-lcsr/costar_plan 30 Mar 2018

In this work, we propose a neural network architecture and associated planning algorithm that (1) learns a representation of the world useful for generating prospective futures after the application of high-level actions, (2) uses this generative model to simulate the result of sequences of high-level actions in a variety of environments, and (3) uses this same representation to evaluate these actions and perform tree search to find a sequence of high-level actions in a new environment.

Photo-Realistic Blocksworld Dataset

ibm/photorealistic-blocksworld 5 Dec 2018

In this report, we introduce an artificial dataset generator for Photo-realistic Blocksworld domain.

VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning

xfgao/VRKitchen 13 Mar 2019

One of the main challenges of advancing task-oriented learning such as visual task planning and reinforcement learning is the lack of realistic and standardized environments for training and testing AI agents.