Latest Articles for Planning

A system that helps robots detect and fix task failures in real-time.

Robots improve pushing tasks by better handling uncertainty during object manipulation.

Research shows planning enhances text generation models' accuracy and reliability.

Goal recognition helps identify intentions through actions in various settings.

AI agents are shaping how we tackle tasks and challenges efficiently.

A new framework improves robot safety and navigation in unknown environments.

A new framework improves self-driving car behavior through advanced learning techniques.

A new method enhances robot path planning in dynamic situations.

A new approach helps robots navigate safely in complex environments.

A new method improves responses to incomplete user requests using LLMs and logical reasoning.

Study reveals connections between language skills and cognitive functioning.

Improving planning strategies in games and simulations with an adaptive approach.

Discover how SNNs enhance energy efficiency in autonomous driving systems.

A new method that improves planning and decision-making in reinforcement learning.

A look at subgoal-based methods for complex AI reasoning challenges.

Researchers propose touch-based methods for robots to enhance accuracy in uncertain environments.

A new method boosts planning speed and efficiency using existing knowledge.

Research shows models struggle with step dependencies in cooking recipes.

Bounding-box inference enhances decision-making in model-based reinforcement learning.

New algorithms enhance robotic inspection efficiency for various real-world applications.

A new benchmark evaluates language models' effectiveness in robotic applications.

Compact methods for robots to navigate without human intervention are emerging.

A new method improves robot navigation and obstacle avoidance.

A new method proposes a better way for robots to learn tasks efficiently.

GCS* offers a new method for efficient path planning in complex environments.

A new scale evaluates how people perceive robot capabilities through communication.

New methods aim to improve how robots manage uncertain contact timings.

Universal plans streamline robotic movement across diverse environments and situations.

Examining the threats posed by autonomous language model agents and their weaknesses.

This method improves planning efficiency using predictions and adaptive action models.

This method enhances visual reasoning by implementing verification at each reasoning step.

A new method teaches AI to navigate cities using landmarks without step-by-step instructions.

Integrating ontologies enhances planning in uncertain and complex environments.

This article discusses how robots can handle cancel commands effectively in the kitchen.

This study examines how planning aids in reducing factual errors in text generation.

Robots improve object location skills using touch and sight.

A new approach improves decision-making in reinforcement learning by focusing on objects.

A new method enhances efficiency and precision in understanding agent goals.

A new method to assess how well LLMs understand and apply rules.

Research reveals planning is the key challenge for web agents' effectiveness.