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Deep visual foresight for planning robot motion

https://doi.org/10.1109/icra.2017.7989324
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What this work says

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

inferredcites →https://doi.org/10.1002/rob.20276openalex-snapshot
Learning long‐range vision for autonomous off‐road driving
inferredcites →https://doi.org/10.1007/978-3-319-46478-7_51openalex-snapshot
An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders
inferredcites →https://doi.org/10.1007/bf01421486openalex-snapshot
Visual learning and recognition of 3-d objects from appearance
inferredcites →https://doi.org/10.1007/s10514-009-9120-4openalex-snapshot
Reinforcement learning for robot soccer
inferredcites →https://doi.org/10.1007/s10514-012-9306-zopenalex-snapshot
A Planning Framework for Non-Prehensile Manipulation under Clutter and Uncertainty
inferredcites →https://doi.org/10.1038/426244aopenalex-snapshot
How fielders arrive in time to catch the ball
inferredcites →https://doi.org/10.1109/70.143350openalex-snapshot
A new approach to visual servoing in robotics
inferredcites →https://doi.org/10.1109/70.538974openalex-snapshot
Relative end-effector control using Cartesian position based visual servoing
inferredcites →https://doi.org/10.1109/icra.2014.6907443openalex-snapshot
Learning predictive models of a depth camera & manipulator from raw execution traces
inferredcites →https://doi.org/10.1109/icra.2016.7487173openalex-snapshot
Deep spatial autoencoders for visuomotor learning
inferredcites →https://doi.org/10.1109/icra.2016.7487517openalex-snapshot
Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours
inferredcites →https://doi.org/10.1109/icra.2017.7989023openalex-snapshot
SE3-nets: Learning rigid body motion using deep neural networks
inferredcites →https://doi.org/10.1109/ijcnn.2012.6252823openalex-snapshot
Autonomous reinforcement learning on raw visual input data in a real world application
inferredcites →https://doi.org/10.1109/iros.2011.6094737openalex-snapshot
Push planning for object placement on cluttered table surfaces
inferredcites →https://doi.org/10.1109/iros.2012.6386025openalex-snapshot
Synthesis and stabilization of complex behaviors through online trajectory optimization
inferredcites →https://doi.org/10.1109/iros.2013.6696861openalex-snapshot
Learning the dynamics of doors for robotic manipulation
inferredcites →https://doi.org/10.1109/iros.2016.7758091openalex-snapshot
More than a million ways to be pushed. A high-fidelity experimental dataset of planar pushing
inferredcites →https://doi.org/10.1109/jra.1987.1087068openalex-snapshot
A unified approach for motion and force control of robot manipulators: The operational space formulation
inferredcites →https://doi.org/10.1109/robot.2009.5152739openalex-snapshot
Object recognition and full pose registration from a single image for robotic manipulation
inferredcites →https://doi.org/10.1145/2980179.2980257openalex-snapshot
Jump
inferredcites →https://doi.org/10.1177/0278364911404092openalex-snapshot
Closing the learning-planning loop with predictive state representations
inferredcites →https://doi.org/10.1177/0278364914557708openalex-snapshot
Bootstrapping bilinear models of Simple Vehicles
inferredcites →https://doi.org/10.1177/0278364917710318openalex-snapshot
Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
inferredcites →https://doi.org/10.1177/027836498600500303openalex-snapshot
Mechanics and Planning of Manipulator Pushing Operations
inferredcites →https://doi.org/10.1184/r1/6603146openalex-snapshot
ALVINN, an autonomous land vehicle in a neural network
inferredcites →https://doi.org/10.1198/tech.2006.s353openalex-snapshot
The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation, and Machine Learning
inferredcites →https://doi.org/10.1201/9781315136370openalex-snapshot
A Mathematical Introduction to Robotic Manipulation
inferredcites →https://doi.org/10.15607/rss.2015.xi.012openalex-snapshot
DeepMPC: Learning Deep Latent Features for Model Predictive Control
inferredcites →https://doi.org/10.1609/aaai.v31i1.11231openalex-snapshot
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-snapshot
Auto-Encoding Variational Bayes
inferredcites →https://doi.org/10.48550/arxiv.1504.00702openalex-snapshot
End-to-End Training of Deep Visuomotor Policies
inferredcites →https://doi.org/10.48550/arxiv.1506.07365openalex-snapshot
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0006openalex-snapshot
An Application of Reinforcement Learning to Aerobatic Helicopter Flight

What points at this work

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

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MOSO: Decomposing MOtion, Scene and Object for Video Prediction
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Future Optical Flow Prediction Improves Robot Control & Video Generation
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Action-Conditioned Convolutional Future Regression Models for Robot Imitation Learning
inferred← citeshttps://doi.org/10.1109/cvprw.2018.00276openalex-snapshot
Learning Instance Segmentation by Interaction
inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00370openalex-snapshot
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes
inferred← citeshttps://doi.org/10.1109/cyber46603.2019.9066512openalex-snapshot
Deep Adversarial Imitation Learning of Locomotion Skills from One-shot Video Demonstration
inferred← citeshttps://doi.org/10.1109/cyber46603.2019.9066707openalex-snapshot
Bionic Design of a 7-DOF Human-arm-like Manipulator Actuated by Antagonized Pneumatic Artificial Muscles
inferred← citeshttps://doi.org/10.1109/dsins54396.2021.9670573openalex-snapshot
A Model-Based Exploration Policy in Deep Q-Network
inferred← citeshttps://doi.org/10.1109/eais.2018.8397177openalex-snapshot
Deep reinforcement learning for frontal view person shooting using drones
inferred← citeshttps://doi.org/10.1109/fuzz-ieee.2019.8858872openalex-snapshot
A Study on Solving the Inverse Kinematics of Serial Robots using Artificial Neural Network and Fuzzy Neural Network
inferred← citeshttps://doi.org/10.1109/hfr.2018.8633515openalex-snapshot
Predicting human trajectory with virtual HRI environment
inferred← citeshttps://doi.org/10.1109/humanoids.2018.8625038openalex-snapshot
NimbRo-OP2X: Adult-Sized Open-Source 3D Printed Humanoid Robot
inferred← citeshttps://doi.org/10.1109/i2itcon65200.2025.11210506openalex-snapshot
Training AI to Simulate Reality Through Self-Constructed Representations
inferred← citeshttps://doi.org/10.1109/icarcv50220.2020.9305467openalex-snapshot
Design and Verification of UAV Maneuver Decision Simulation System Based on Deep Q-learning Network
inferred← citeshttps://doi.org/10.1109/icarm54641.2022.9959321openalex-snapshot
VP-GO: A ‘Light’ Action-Conditioned Visual Prediction Model for Grasping Objects
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9053819openalex-snapshot
Disentangling Controllable Object Through Video Prediction Improves Visual Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/icasspw62465.2024.10626448openalex-snapshot
An Object-Oriented Deep Learning Method for Video Frame Prediction
inferred← citeshttps://doi.org/10.1109/iccar.2018.8384651openalex-snapshot
Spatio-temporal deep learning for robotic visuomotor control
inferred← citeshttps://doi.org/10.1109/iccasit58768.2023.10351689openalex-snapshot
MixTBN: A Fully Test-Time Adaptation Method for Visual Reinforcement Learning on Robotic Manipulation
inferred← citeshttps://doi.org/10.1109/iccss53909.2021.9722012openalex-snapshot
Moving Target Shooting Control Policy Based on Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/iccv.2019.00286openalex-snapshot
Bayesian Relational Memory for Semantic Visual Navigation
inferred← citeshttps://doi.org/10.1109/iccv.2019.00878openalex-snapshot
Grounded Human-Object Interaction Hotspots From Video
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00151openalex-snapshot
Learning Temporal Dynamics from Cycles in Narrated Video
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01447openalex-snapshot
Pathdreamer: A World Model for Indoor Navigation
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01510openalex-snapshot
Pose Invariant Topological Memory for Visual Navigation
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00026openalex-snapshot
Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00031openalex-snapshot
Environment Agnostic Representation for Visual Reinforcement learning
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00187openalex-snapshot
Learning to Identify Critical States for Reinforcement Learning from Videos
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00394openalex-snapshot
MMVP: Motion-Matrix-based Video Prediction
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00998openalex-snapshot
Dreamwalker: Mental Planning for Continuous Vision-Language Navigation
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.02126openalex-snapshot
Efficient Video Prediction via Sparsely Conditioned Flow Matching
inferred← citeshttps://doi.org/10.1109/iccv51701.2025.00917openalex-snapshot
IRASim: A Fine-Grained World Model for Robot Manipulation
inferred← citeshttps://doi.org/10.1109/iccv51701.2025.01298openalex-snapshot
RobAVA: A Large-Scale Dataset and Baseline Towards Video Based Robotic Arm Action Understanding
inferred← citeshttps://doi.org/10.1109/icdl55364.2023.10364415openalex-snapshot
Combined Deterministic and Stochastic Streams for Visual Prediction Using Predictive Coding
inferred← citeshttps://doi.org/10.1109/icds53782.2021.9626720openalex-snapshot
Reinforcement Learning-based Unpredictable Emergency Events
inferred← citeshttps://doi.org/10.1109/icipca59209.2023.10257985openalex-snapshot
Wordle Game Data Analysis Based on Machine Learning
inferred← citeshttps://doi.org/10.1109/icmerr70056.2026.11643079openalex-snapshot
ROI-Driven Foveated Attention for Unified Egocentric Representations in Vision-Language-Action Systems
inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412679openalex-snapshot
Mutual Information based Method for Unsupervised Disentanglement of Video Representation
inferred← citeshttps://doi.org/10.1109/icra.2018.8460602openalex-snapshot
Realtime Planning for High-DOF Deformable Bodies Using Two-Stage Learning
inferred← citeshttps://doi.org/10.1109/icra.2018.8460656openalex-snapshot
Deep Haptic Model Predictive Control for Robot-Assisted Dressing
inferred← citeshttps://doi.org/10.1109/icra.2018.8460915openalex-snapshot
Robotic Cleaning Through Dirt Rearrangement Planning with Learned Transition Models
inferred← citeshttps://doi.org/10.1109/icra.2018.8461184openalex-snapshot
SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Control
inferred← citeshttps://doi.org/10.1109/icra.2018.8461196openalex-snapshot
Deep Object-Centric Representations for Generalizable Robot Learning
inferred← citeshttps://doi.org/10.1109/icra.2019.8793485openalex-snapshot
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
inferred← citeshttps://doi.org/10.1109/icra.2019.8793500openalex-snapshot
Uncertainty-Aware Occupancy Map Prediction Using Generative Networks for Robot Navigation
inferred← citeshttps://doi.org/10.1109/icra.2019.8793600openalex-snapshot
A Fog Robotic System for Dynamic Visual Servoing
inferred← citeshttps://doi.org/10.1109/icra.2019.8793630openalex-snapshot
Online adaptation of uncertain models using neural network priors and partially observable planning
inferred← citeshttps://doi.org/10.1109/icra.2019.8793736openalex-snapshot
Visual Robot Task Planning
inferred← citeshttps://doi.org/10.1109/icra.2019.8793972openalex-snapshot
Robust object grasping in clutter via singulation
inferred← citeshttps://doi.org/10.1109/icra.2019.8794211openalex-snapshot
Inferring Robot Morphology from Observation of Unscripted Movement
inferred← citeshttps://doi.org/10.1109/icra.2019.8794219openalex-snapshot
Manipulation by Feel: Touch-Based Control with Deep Predictive Models
inferred← citeshttps://doi.org/10.1109/icra.2019.8794310openalex-snapshot
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies
inferred← citeshttps://doi.org/10.1109/icra.2019.8794437openalex-snapshot
Semantic Predictive Control for Explainable and Efficient Policy Learning
inferred← citeshttps://doi.org/10.1109/icra.2019.8794441openalex-snapshot
Prospection: Interpretable plans from language by predicting the future
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9196537openalex-snapshot
Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9196582openalex-snapshot
Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9196714openalex-snapshot
Self-supervised 6D Object Pose Estimation for Robot Manipulation
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9196824openalex-snapshot
Local Trajectory Stabilization for Dexterous Manipulation via Piecewise Affine Approximations
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9196839openalex-snapshot
Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative Study
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9196862openalex-snapshot
TRASS: Time Reversal as Self-Supervision
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9196971openalex-snapshot
KETO: Learning Keypoint Representations for Tool Manipulation
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9197291openalex-snapshot
Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9197324openalex-snapshot
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9197331openalex-snapshot
Learning to See before Learning to Act: Visual Pre-training for Manipulation
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9197356openalex-snapshot
Adaptive Unknown Object Rearrangement Using Low-Cost Tabletop Robot
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9197409openalex-snapshot
Accurate Vision-based Manipulation through Contact Reasoning
inferred← citeshttps://doi.org/10.1109/icra46639.2022.9812301openalex-snapshot
Ex-DoF: Expansion of Action Degree-of-Freedom with Virtual Camera Rotation for Omnidirectional Image
inferred← citeshttps://doi.org/10.1109/icra46639.2022.9812369openalex-snapshot
Learning to Optimize in Model Predictive Control
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9560752openalex-snapshot
Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9560762openalex-snapshot
No-frills Dynamic Planning using Static Planners
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9560841openalex-snapshot
Deep Affordance Foresight: Planning Through What Can Be Done in the Future
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9560922openalex-snapshot
LEAF: Latent Exploration Along the Frontier
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9560955openalex-snapshot
Deformable Linear Object Prediction Using Locally Linear Latent Dynamics
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