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Tell Me Dave: Context-Sensitive Grounding of Natural Language to Manipulation Instructions

https://doi.org/10.15607/rss.2014.x.005

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Manipulation with Multiple Action Types

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Inferring Maps and Behaviors from Natural Language Instructions

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Every Picture Tells a Story: Generating Sentences from Images

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Grounding Verbs of Motion in Natural Language Commands to Robots

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HERB: a home exploring robotic butler

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Grounding the Interaction: Anchoring Situated Discourse in Everyday Human-Robot Interaction

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Learning the dynamics of doors for robotic manipulation

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CHOMP: Gradient optimization techniques for efficient motion planning

inferredcites →https://doi.org/10.1109/roman.2010.5598719openalex-snapshot

Which one? Grounding the referent based on efficient human-robot interaction

inferredcites →https://doi.org/10.1109/tpami.2015.2430335openalex-snapshot

Anticipating Human Activities Using Object Affordances for Reactive Robotic Response

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Learning Semantic Maps from Natural Language Descriptions

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Anticipating Human Activities using Object Affordances for Reactive Robotic Response

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Incremental Semantically Grounded Learning from Demonstration

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Hierarchical Semantic Labeling for Task-Relevant RGB-D Perception

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Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation

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Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language

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Accurate unlexicalized parsing

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Contextually Guided Semantic Labeling and Search for 3D Point Clouds

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Physically Grounded Spatio-temporal Object Affordances

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AI Reasoning Methods for Robotics

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Human-Robot Interaction in a Shopping Mall: A CNL Approach

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Symbolic Robot Commanding Utilizing Physical Properties - System Overview

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Cloud-Based Probabilistic Knowledge Services for Instruction Interpretation

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Manipulation and Task Execution by Humanoids

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Rendering semantically-annotated experiment videos out of robot memories

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CoSTAR: Instructing collaborative robots with behavior trees and vision

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A cloud service for robotic mental simulations

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Deep multimodal embedding: Manipulating novel objects with point-clouds, language and trajectories

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Instruction completion through instance-based learning and semantic analogical reasoning

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KUDA: Keypoints to Unify Dynamics Learning and Visual Prompting for Open-Vocabulary Robotic Manipulation

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Synthesizing manipulation sequences for under-specified tasks using unrolled Markov Random Fields

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Grounding of actions based on verbalized physical effects and manipulation primitives

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Towards robots conducting chemical experiments

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Programming robotic agents with action descriptions

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Adaptive Task Planner for Performing Home Service Tasks in Cooperation with a Human

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Analytic approach for natural language based supervisory control of robotic manipulations

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Task execution based-on human-robot dialogue and deictic gestures

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Spatial references and perspective in natural language instructions for collaborative manipulation

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Grounding action parameters from demonstration

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Learning Context on a Humanoid Robot using Incremental Latent Dirichlet Allocation

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Leveraging the Crowd to Capture Highly Variable Task Models

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Language-driven synthesis of 3D scenes from scene databases

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50 Ways to Bake a Cookie

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Robots That Use Language

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Tell me Dave: Context-sensitive grounding of natural language to manipulation instructions

inferred← citeshttps://doi.org/10.15607/rss.2014.x.015openalex-snapshot

Modeling High-Dimensional Humans for Activity Anticipation using Gaussian Process Latent CRFs

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Grounding English Commands to Reward Functions

inferred← citeshttps://doi.org/10.15607/rss.2016.xii.040openalex-snapshot

Situated Language Understanding with Human-like and Visualization-Based Transparency

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Learning Interpretable Spatial Operations in a Rich 3D Blocks World

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Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning

inferred← citeshttps://doi.org/10.1609/aimag.v37i4.2684openalex-snapshot

Collaborative Language Grounding Toward Situated Human‐Robot Dialogue

inferred← citeshttps://doi.org/10.3115/v1/p15-1096openalex-snapshot

Environment-Driven Lexicon Induction for High-Level Instructions

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Embodied contextualization: Towards a multistratal ontological treatment

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RoboBrain: Large-Scale Knowledge Engine for Robots

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