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Contextual Sequence Prediction with Application to Control Library Optimization

https://doi.org/10.15607/rss.2012.viii.007

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What this work says

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

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The DARPA LAGR program: Goals, challenges, methodology, and phase I results

inferredcites →https://doi.org/10.1002/rob.20255openalex-snapshot

Autonomous driving in urban environments: Boss and the Urban Challenge

inferredcites →https://doi.org/10.1002/rob.20258openalex-snapshot

Junior: The Stanford entry in the Urban Challenge

inferredcites →https://doi.org/10.1007/11503415_11openalex-snapshot

Sensitive Error Correcting Output Codes

inferredcites →https://doi.org/10.1007/11552246_57openalex-snapshot

Toward Reliable Off Road Autonomous Vehicles Operating in Challenging Environments

inferredcites →https://doi.org/10.1007/978-3-319-29363-9_18openalex-snapshot

Learning from Experience in Manipulation Planning: Setting the Right Goals

inferredcites →https://doi.org/10.1007/978-3-540-73429-1_2openalex-snapshot

A Robust Approach to High-Speed Navigation for Unrehearsed Desert Terrain

inferredcites →https://doi.org/10.1007/978-3-642-03991-1_1openalex-snapshot

Autonomous Driving in Urban Environments: Boss and the Urban Challenge

inferredcites →https://doi.org/10.1007/978-3-642-03991-1_3openalex-snapshot

Junior: The Stanford Entry in the Urban Challenge

inferredcites →https://doi.org/10.1109/cdc.2000.912871openalex-snapshot

Robust hybrid control for autonomous vehicle motion planning

inferredcites →https://doi.org/10.1109/iccv.2005.171openalex-snapshot

Object categorization by learned universal visual dictionary

inferredcites →https://doi.org/10.1109/ichr.2007.4813847openalex-snapshot

Grasp planning in complex scenes

inferredcites →https://doi.org/10.1109/ichr.2007.4813899openalex-snapshot

Imitation learning for locomotion and manipulation

inferredcites →https://doi.org/10.1109/ichr.2010.5686298openalex-snapshot

Learning table tennis with a Mixture of Motor Primitives

inferredcites →https://doi.org/10.1109/mra.2010.936946openalex-snapshot

Learning for Autonomous Navigation

inferredcites →https://doi.org/10.1109/robot.2000.844730openalex-snapshot

RRT-connect: An efficient approach to single-query path planning

inferredcites →https://doi.org/10.1109/robot.2003.1241745openalex-snapshot

Ranking planar grasp configurations for a three-finger hand

inferredcites →https://doi.org/10.1109/robot.2006.1642212openalex-snapshot

Policies based on trajectory libraries

inferredcites →https://doi.org/10.1109/robot.2009.5152773openalex-snapshot

Survivability: Measuring and ensuring path diversity

inferredcites →https://doi.org/10.1109/robot.2009.5152817openalex-snapshot

CHOMP: Gradient optimization techniques for efficient motion planning

inferredcites →https://doi.org/10.1145/1102351.1102358openalex-snapshot

Error limiting reductions between classification tasks

inferredcites →https://doi.org/10.1145/1390156.1390255openalex-snapshot

Learning diverse rankings with multi-armed bandits

inferredcites →https://doi.org/10.1145/1553374.1553433openalex-snapshot

Trajectory prediction

inferredcites →https://doi.org/10.1177/0278364906065543openalex-snapshot

Toward Reliable Off Road Autonomous Vehicles Operating in Challenging Environments

inferredcites →https://doi.org/10.1184/r1/6557225openalex-snapshot

Optimal Sampling In the Space of Paths: Preliminary Results

inferredcites →https://doi.org/10.1198/jasa.2003.s269openalex-snapshot

Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

inferredcites →https://doi.org/10.1609/aaai.v26i1.8383openalex-snapshot

Efficient Optimization of Control Libraries

inferredcites →https://doi.org/10.21236/ada476748openalex-snapshot

An Online Algorithm for Maximizing Submodular Functions

inferredcites →https://doi.org/10.21236/ada592141openalex-snapshot

Efficient Optimization of Control Libraries

inferredcites →https://doi.org/10.7551/mitpress/4175.001.0001openalex-snapshot

Learning with Kernels

What points at this work

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

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Beyond Geometric Path Planning: Learning Context-Driven Trajectory Preferences via Sub-optimal Feedback

inferred← citeshttps://doi.org/10.1007/s10514-014-9408-xopenalex-snapshot

Integrating human observer inferences into robot motion planning

inferred← citeshttps://doi.org/10.1007/s41315-025-00520-9openalex-snapshot

ITPNet: Initial trajectory prediction network-a deep learning framework for predicting initial trajectories to warm start optimization-based motion planners

inferred← citeshttps://doi.org/10.1109/bracis.2019.00059openalex-snapshot

Action Scheduling Optimization using Cartesian Genetic Programming

inferred← citeshttps://doi.org/10.1109/hri.2013.6483603openalex-snapshot

Legibility and predictability of robot motion

inferred← citeshttps://doi.org/10.1109/humanoids.2012.6651512openalex-snapshot

Comparing motion generation and motion recall for everyday robotic tasks

inferred← citeshttps://doi.org/10.1109/iccv.2015.337openalex-snapshot

Predicting Multiple Structured Visual Interpretations

inferred← citeshttps://doi.org/10.1109/icra.2015.7139281openalex-snapshot

PlanIt: A crowdsourcing approach for learning to plan paths from large scale preference feedback

inferred← citeshttps://doi.org/10.1109/icra.2015.7139517openalex-snapshot

The planner ensemble: Motion planning by executing diverse algorithms

inferred← citeshttps://doi.org/10.1109/icra.2015.7139960openalex-snapshot

Visual chunking: A list prediction framework for region-based object detection

inferred← citeshttps://doi.org/10.1109/icra.2016.7487136openalex-snapshot

List prediction applied to motion planning

inferred← citeshttps://doi.org/10.1109/iros.2012.6386274openalex-snapshot

Comparing motion generation and motion recall for everyday mobile manipulation tasks

inferred← citeshttps://doi.org/10.1109/iros.2014.6942625openalex-snapshot

Learning to reach into the unknown: Selecting initial conditions when reaching in clutter

inferred← citeshttps://doi.org/10.1109/iros.2018.8593977openalex-snapshot

Leveraging Precomputation with Problem Encoding for Warm-Starting Trajectory Optimization in Complex Environments

inferred← citeshttps://doi.org/10.1109/tro.2021.3069132openalex-snapshot

Memory Clustering Using Persistent Homology for Multimodality- and Discontinuity-Sensitive Learning of Optimal Control Warm-Starts

inferred← citeshttps://doi.org/10.1137/1.9781611974782.78openalex-snapshot

Online Submodular Maximization with Free Disposal: Randomization Beats ¼ for Partition Matroids

inferred← citeshttps://doi.org/10.1137/1.9781611976465.63openalex-snapshot

Beyond Submodular Maximization via One-Sided Smoothness

inferred← citeshttps://doi.org/10.1137/1.9781611977912.51openalex-snapshot

A Parameterized Family of Meta-Submodular Functions

inferred← citeshttps://doi.org/10.1145/3242770openalex-snapshot

Online Submodular Maximization with Free Disposal

inferred← citeshttps://doi.org/10.1177/0278364913488805openalex-snapshot

CHOMP: Covariant Hamiltonian optimization for motion planning

inferred← citeshttps://doi.org/10.1177/0278364913490324openalex-snapshot

A policy-blending formalism for shared control

inferred← citeshttps://doi.org/10.1177/0278364915581193openalex-snapshot

Learning preferences for manipulation tasks from online coactive feedback

inferred← citeshttps://doi.org/10.1177/0278364917712421openalex-snapshot

Funnel libraries for real-time robust feedback motion planning

inferred← citeshttps://doi.org/10.1184/r1/6555281.v1openalex-snapshot

Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization

inferred← citeshttps://doi.org/10.15607/rss.2016.xii.046openalex-snapshot

Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces

inferred← citeshttps://doi.org/10.48550/arxiv.1306.6294openalex-snapshot

Learning Trajectory Preferences for Manipulators via Iterative Improvement

inferred← citeshttps://doi.org/10.48550/arxiv.1407.1082openalex-snapshot

Online Submodular Maximization under a Matroid Constraint with Application to Learning Assignments

inferred← citeshttps://doi.org/10.48550/arxiv.1411.1752openalex-snapshot

Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets

inferred← citeshttps://doi.org/10.5555/2447556.2447672openalex-snapshot

Legibility and predictability of robot motion

inferred← citeshttps://doi.org/10.7298/x4mw2f2vopenalex-snapshot

Learning From Natural Human Interactions For Assistive Robots

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