Action Representations in Robotics.

Abstract: Understanding and defining the meaning of ``action'' is substantial for robotics research. This becomes utterly evident when aiming at equipping autonomous robots with robust manipulation skills for action execution. Unfortunately, to this day we still lack both a clear understanding of the concept of an action and a set of established criteria that ultimately characterize an action. In this survey we thus first review existing ideas and theories on the notion and meaning of action. Subsequently we discuss the role of action in robotics and attempt to give a seminal definition of action in accordance with its use in robotics research. Given this definition we then introduce a taxonomy for categorizing action representations in robotics along various dimensions. Finally, we provide a systematic literature survey on action representations in robotics where we categorize relevant literature along our taxonomy. After discussing the current state of the art we conclude with an outlook towards promising research directions.

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Title Author Year Perspective Stimuli Selective Attention Granularity Abstraction Competition Sequencing Generalization Motivation Acquisition Prediction Exploitation Learning Discretization Grounding Associativity Effect Correspondence Formulation Method Features Training Evaluation Datasets Actions Date Added
Title Author Year Perspective Stimuli Selective Attention Granularity Abstraction Competition Sequencing Generalization Motivation Acquisition Prediction Exploitation Learning Discretization Grounding Associativity Effect Correspondence Formulation Method Features Training Evaluation Datasets Actions Date Added
Teaching new tricks to a robot learning to solve a task by imitationAcosta et al.2010observerextroceptiveyesmesoatomicnoyesyesextrinsicDemonstrationclassificationSingle-/Multi-step predictionofflinebothyesbidirectionalbothmathematicalForward and Inverse Models, FSMmarker posessupervisedReal Robot pick and placeAug 2018
Toward a library of manipulation actions based on semantic object-action relationsAein et al.2013agentbothnomesoatomicnonoyesnot specifiedHard codedclassificationSingle-/Multi-step predictionofflinecategoricalyesunidirectionalbothmathematicalSEC, FSM, DMPobject and gripper posessupervisedReal Robot pushing, reaching, grasping, hidingAug 2018
Action recognition by employing combined directional motion history and energy imagesAhad et al.2010observerextroceptivenoglobalatomicnonoyesnot specifiedDemonstrationclassificationRecognitionofflinecategoricalnounidirectionalenvironmentmathematicalNNcartesian moments, energy templatesunsupervisedBenchmark wave, bend, hug, jumpAug 2018
Variable silhouette energy image representations for recognizing human actionsAhmad & Lee2010observerextroceptivenoglobalatomicnonoyesnot specifiedGround truthclassificationRecognitionofflinecategoricalnounidirectionalbodymathematicalMCSVMsilhouette images and shapesupervisedBenchmarkKTH, FBG Aug 2018
Learning symbolic representations of actions from human demonstrationsAhmadzadeh et al.2015agentbothnomesoatomicnoyesyesnot specifiedDemonstrationoptimizationPlanningofflinebothyesunidirectionalbothmathematicalDMPs, Visuospatial Skill Learningtrajectories, object motionssupervisedReal Robot pull, pushAug 2018
Enriched manipulation action semantics for robot execution of time constrained tasksAksoy et al.2016agentbothnomesoatomicnonoyesnot specifiedDemonstrationclassificationSingle-/Multi-step predictionofflinecontinuousyesunidirectionalbothmathematicalMMM, SECobject and body posessupervisedReal Robot manipulation, interactionAug 2018
Structural bootstrapping at the sensorimotor level for the fast acquisition of action knowledge for cognitive robotsAksoy et al.2013observerbothyesmesoatomicnonoyesnot specifiedDemonstrationclassificationRecognitionofflinecategoricalyesunidirectionalbothmathematicalSEC, DMP, Structural Bootstrappingobject and hand posessupervisedBenchmark cutting, stirring, choppingAug 2018
Semantic Decomposition and Recognition of Long and Complex Manipulation Action SequencesAksoy et al.2016observerextroceptiveyesmesobothyesyesyesnot specifiedDemonstrationoptimizationRecognitionofflinecategoricalnounidirectionalenvironmentmathematicalSEC, Similarity Matchingdepth, colorunsupervisedBenchmarkManiAc Aug 2018
Deep Feature-Action Processing with Mixture of UpdatesAltahhan2015agentextroceptiveyesglobalatomicyesyesyesintrinsicExplorationregressionSingle-/Multi-step predictiononlinecontinuousyesunidirectionalbodymathematicalPCA, Actor-CriticRGB imagessupervisedReal Robot homingAug 2018
Learning Invariant Sensorimotor Behaviors: A Developmental Approach to Imitation MechanismsAndry et al.2004agentbothyesmesoatomicnonoyesnot specifiedDemonstrationclassificationSingle-/Multi-step predictiononlinecontinuousnounidirectionalenvironmentmathematicalNF, DS, SOMjoint configurationsunsupervisedReal Robot pointing, navigation, gesturesAug 2018
Perceiving Objects and Movements to Generate Actions on a Humanoid RobotAsfour et al.2008observerextroceptiveyesglobalatomicnoyesyesnot specifiedcombinationregressionSingle-/Multi-step predictionofflinecategoricalnounidirectionalenvironmentmathematicalParticle filter, HMM, Clusteringinvariant object features, affordancesunsupervisedReal Robot reaching, grasping, placingAug 2018
Human sensorimotor learning for humanoid robot skill synthesisBabic et al.2011agentextroceptivenoglobalatomicnonoyesnot specifiedDemonstrationoptimizationSingle-/Multi-step predictionofflinecontinuousnounidirectionalbodybiomimeticRBF networkjoint configurationssupervisedReal Robot reachingAug 2018
Constraint-based movement representation grounded in geometric featuresBartls et al.2013agentextroceptivenomesoatomicnoyesyesnot specifiedHard codedoptimizationPlanningofflinecategoricalnounidirectionalenvironmentmathematicalTask functionspoints, lines, planessupervisedReal Robot making pancakeAug 2018
Representing robot/environment interactions using probabilities: the "beam in the bin" experimentBessiere et al.1994agentbothnoglobalatomicnonoyesnot specifiedExplorationinferenceSingle-/Multi-step predictiononlinecontinuousyesbidirectionalbothmathematicalProbabilistic Inferencemotor command, light intensityunsupervisedReal Robot reachabilityAug 2018
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Recognizing actions with the associative self-organizing mapBuonamente et al.2013observerextroceptivenoglobalatomicyesnoyesnot specifiedGround truthclassificationRecognitionofflinenot specifiednot specifiednot specifiednot specifiedmathematicalASOMposture vectors from movieunsupervisedBenchmarkIXMAS Aug 2018
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An Efficient Approach for Multi-view Human Action Recognition Based on Bag-of-Key-PosesChaaraoui et al.2012observerextroceptivenoglobalatomicyesnoyesnot specifiedGround truthclassificationRecognitionofflinecategoricalnonot specifiedbodymathematicalk-Means, NNcenter of mass, euclidean distance, bag of key posessupervisedBenchmarkMuHAVi Aug 2018
Towards a Conceptual Representation of ActionsChella et al.2000agentbothnoglobalatomicyesyesyesnot specifiedGround truthinferencePlanningofflinecategoricalyesunidirectionalbodymathematicalCS, RNNlocation, posessupervisedReal Robot navigationAug 2018
ReadingAct RGB-D action dataset and human action recognition from local featuresChen et al.2014observerextroceptivenoglobalatomicnonoyesnot specifiedGround truthclassificationRecognitionofflinecategoricalnounidirectionalbodymathematicalInterest Point Detection, DTW, SVM2D depth and intensity imagessupervisedBenchmarkCAD-60, RGBD-HUDAACT, Chen_2014 Aug 2018
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Platas—Integrating Planning and the Action Language GologClaßen et al.2012observerextroceptivenoglobalatomicnoyesnot specifiednot specifiedLanguageoptimizationPlanningnot specifiedcategoricalnobidirectionalbithmathematicalNon- and Deterministic Planning Languagelanguagenot specifiedSimulation delivering lettersAug 2018
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Hankelet-based action classification for motor intention recognitionDindo et al.2017observerextroceptivenomesoatomicnonoyesnot specifiedGround truthclassificationSingle-/Multi-step predictionofflinecontinuousnounidirectionalbodymathematicalSVMIMU readingssupervisedReal Robot walkingAug 2018
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Minimalist plans for interpreting manipulation actionsGuha et al.2013observerbothnomesoatomicnoyesyesnot specifiedDemonstrationclassificationRecognitionofflinecategoricalnounidirectionalenvironmentmathematicalTracking, Planninggripper poses, grasp typesupervisedBenchmarkUMD Aug 2018
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Clustering of human actions using invariant body shape descriptor and dynamic time warpingPierobon; M. Marcon; A. Sarti; S. Tubaro2005observerextroceptivenoglobalatomicnonoyesnot specifiedGround truthclassificationRecognitionofflinenot specifiednot specifiednot specifiednot specifiedmathematicalDTW3D shape descriptorssupervisedBenchmark pointing, crouching down, kickAug 2018
Audio-visual classification and detection of human manipulation actionsPieropan et al.2014observerextroceptivenomesoatomicnoyesyesnot specifiedGround truthclassificationRecognitionofflinecategoricalnounidirectionalenvironmentmathematicalHMMposes, distancessupervisedBenchmark open, pour, closeAug 2018
Cross-modal and scale-free action representations through enactionPitti et al.2009agentbothyesmesoatomicnonoyesnot specifiedDemonstrationclassificationRecognitionofflinecontinuousnounidirectionalenvironmentbiomimeticRNN, STDPsaliency maps, touchself-supervisedSimulation graspingAug 2018
Fast action recognition using negative space featuresRahman et al.2014observerextroceptiveyesglobalatomicnonoyesnot specifiedGround truthclassificationRecognitionofflinecategoricalnounidirectionalbodymathematicalNNnegative space action descriptorssupervisedBenchmarkKTH, Weizmann, Fish action Aug 2018
Transferring skills to humanoid robots by extracting semantic representations from observations of human activitiesRamirez-Amaro et al.2017limbextroceptivenomesobothnoyesyesextrinsicDemonstrationinferencePlanningofflinecategoricalnounidirectionalnot specifiedmathematicalDecision TreecolorsupervisedReal Robot making a pancakeAug 2018
A new invariant descriptor for action recognition based on spherical harmonicsRazzaghi et al.2012observerextroceptivenoglobalatomicyesnoyesnot specifiedDemonstrationclassificationRecognitionofflinecategoricalnounidirectionalbodymathematicalSVM, spherical harmonicsspatio-temporal volumesupervisedBenchmarkKTH, Weizmann, IXMAS, Robust Aug 2018
View-independent human action recognition with Volume Motion Template on single stereo cameraRoh et al.2010observerextroceptivenoglobalatomicnonoyesnot specifiedDemonstrationinferenceRecognitionofflinecontinuousnounidirectionalenvironmentmathematicalVMT, PMTsilhouette and depth mapsunsupervisedBenchmark hand movements, bowingAug 2018
A framework for heading-guided recognition of human activityRosales & Sclaroff2003observerextroceptiveyesglobalatomicnonoyesnot specifiedDemonstrationoptimizationRecognitionofflinecontinuousnounidirectionalbodymathematicalEKF, PCA, EM3D trajectoriesunsupervisedBenchmark walking, running, r.blading, bikingAug 2018
Hand-Object Interaction and Precise Localization in Transitive Action RecognitionRosenfeld & Ullman2016observerextroceptiveyeslocalatomicnonononot specifiedGround truthregressionRecognitionofflinenot specifiednot specifiednot specifiednot specifiedmathematicalDAG-RNN, SVMface, hand object location probability mapsupervisedBenchmarkStanford-40 Actions Aug 2018
Human activity recognition in videos using a single exampleRoshtkhari & Levine2013observerextroceptiveyesglobalatomicnonoyesnot specifiedGround truthregressionRecognitionofflinecategoricalnounidirectionalbodymathematicalSimilarity mappingHOG, SIFTsupervisedBenchmarkKTH, Weizmann, MSR II Aug 2018
A Multi-Scale Hierarchical Codebook Method for Human Action Recognition in Videos Using a Single ExampleRoshtkhari; M. D. Levine2012observerextroceptivenoglobalatomicnonoyesintrinsicExplorationclassificationRecognitiononlinenot specifiednot specifiednot specifiednot specifiedmathematicalBag of video words, Code bookSTVsupervisedBenchmarkKTH, Weizmann, MSR II Aug 2018
Learning the Consequences of Actions: Representing Effects as Feature ChangesRudolph et al.2010agentextroceptivenoglobalatomicyesnoyesnot specifiedDemonstrationinferenceSingle-/Multi-step predictionofflinecontinuousyesunidirectionalenvironmentmathematicalBNobject pose and presencesupervisedSimulation can tossing, ball throwingAug 2018
Learning sequential and continuous controlRyan & Andreae1993agentextroceptivenoglobalatomicyesyesyesnot specifiedExplorationregressionSingle-/Multi-step predictiononlinecontinuousnounidirectionalbodybiomimeticPP, CMACpositionunsupervisedSimulation reachabilityAug 2018
Action Recognition Robust to Background Clutter by Using Stereo VisionSanchez-Riera et al.2012observerextroceptivenoglobalatomicnonoyesnot specifiedGround truthclassificationRecognitionofflinecategoricalnounidirectionalbodymathematicalk-Means, SVMBOW, Scene/Optical FlowsupervisedBenchmarkRavel Aug 2018
Primitive Based Action Representation and RecognitionSanmohan & Krüger2009observerextroceptivenoglobalatomicnoyesyesnot specifiedDemonstrationinferenceRecognitionofflinecategoricalnounidirectionalbodymathematicalHMM, SCFGtrajectoriesunsupervisedCombination walking, grasping, pushingAug 2018
Learning Discriminative Space–Time Action Parts from Weakly Labelled VideosSapienza et al.2014observerextroceptivenomesocompoundyesyesyesnot specifiedGround truthclassificationRecognitionofflinecategoricalnonot specifiedbodymathematicalSVM-mapBOFsemi-supervisedBenchmarkKTH, YouTube, Hollywood2, HMDB Aug 2018
Encoding human actions with a frequency domain approachShah et al.2016observerproprioceptivenomesobothyesnoyesnot specifiedDemonstrationclassificationRecognitionofflinenot specifiednot specifiednot specifiednot specifiedmathematicalFFT, PCA, Clusteringjoint configurationssemi-supervisedBenchmarkHDM05 Aug 2018
Learning Skeleton Stream Patterns with Slow Feature Analysis for Action RecognitionShan et al.2014observerextroceptivenoglobalatomicyesnoyesnot specifiedDemonstrationclassificationRecognitionofflinecategoricalnounidirectionalbodymathematicalSFA, k-Meansskeletal joint streamsunsupervisedBenchmarkMSR-Action 3D Aug 2018
Teaching Robots New Actions through Natural Language InstructionsShe et al.2014agentbothnomesoatomicnoyesyesextrinsicGround truthinferencePlanningonlinecategoricalyesunidirectionalbothmathematicalNLP, Vision Graphslanguage, object poses, distancesself-supervisedReal Robot reaching, graspingAug 2018
Integration of spatial and temporal contexts for action recognition by self organizing neural networksShimozaki; Y. Kuniyoshi2003observerextroceptiveyesglobalatomicnonoyesnot specifiedGround truthclassificationRecognitionofflinenot specifiednot specifiednot specifiednot specifiedbiomimeticSOM2D animationsupervisedBenchmark grasp, carry, placeAug 2018
Navigating mobile robots with a modular neural architectureSilva & Ribeiro2003agentproprioceptivenomesoatomicyesnoyesextrinsicDemonstrationregressionSingle-/Multi-step predictionofflinecategoricalyesunidirectionalbodymathematicalMNNrobot state, world statesupervisedReal Robot navigationAug 2018
Spatiotemporal representation of 3D skeleton joints-based action recognition using modified spherical harmonicsSlaih and Chahir2016observerextroceptivenoglobalatomicnonoyesnot specifiedGround truthclassificationRecognitionofflinecontinuousnounidirectionalbodymathematicalSpherical Harmonics, ELM3D body skeletonsupervisedBenchmarkMSR-Action 3D, G3D, Florence3D Action, UTKinect-Action Aug 2018
Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming VideoSu & Grauman2016observerextroceptivenomesocompoundyesyesyesnot specifiedGround truthregressionSingle-/Multi-step predictionofflinebothnonot specifiedenvironmentmathematicalMDP, GMMBOO, CNN-featuressupervisedBenchmarkADLs, UCF-101 Aug 2018
A sub-symbolic process underlying the usage-based acquisition of a compositional representation: Results of robotic learning experiments of goal-directed actionsSugita; J. Tani2008agentextroceptivenolocalatomicnoyesyesextrinsicDemonstrationregressionSingle-/Multi-step predictionofflinecategoricalyesbidirectionalbodybiomimeticNNcolored patches, speed of wheelsupervisedSimulation reachingAug 2018
Action Disambiguation Analysis Using Normalized Google-Like Distance CorrelogramSun & Liu2013observerextroceptivenoglobalatomicnonoyesnot specifiedGround truthclassificationRecognitionofflinecategoricalnonot specifiedbodymathematicalNGLD+BOW, kNN, SVMSTIP, 3D-Sift, Spatial-Temporal Interest PointsupervisedBenchmarkWeizmann, UCF Sports Aug 2018
A novel hierarchical Bag-of-Words model for compact action representationSun et al.2016observerextroceptiveyesglobalatomicnonoyesnot specifiedGround truthclassificationRecognitionofflinecategoricalnounidirectionalbodymathematicalHierarchical BOW, SVM2D imagessupervisedBenchmarkHollywood2, Olympic Sports, YouTube, HMDB Aug 2018
A unified representation for reasoning about robot actions, processes, and their effects on objectsTenorth & Beetz2012agentbothyesmesoatomicyesyesyesnot specifiedHard codedinferencePlanningofflinebothnounidirectionalbothmathematicalOntologies, Logic Programmingobject shape and pose, body posessupervisedReal Robot making pancakeAug 2018
From motor to sensory processing in mirror neuron computational modellingTessitore et al.2010agentbothnomesocompoundyesyesyesnot specifiedGround truthclassificationSingle-/Multi-step predictionofflinecontinuousyesbidirectionalbodybiomimeticPCA, NN, MDNscene descriptorssupervisedBenchmarkHuman-Grasp Aug 2018
Ubiquitous robotics in physical human action recognition: A comparison between dynamic ANNs and GPTheodoridis et al.2008observerextroceptivenoglobalatomicnonoyesnot specifiedGround truthclassificationRecognitionofflinecategoricalnounidirectionalenvironmentmathematicalANN, Genetic Programmingkinematic body modelsupervisedBenchmark daily activitiesAug 2018
Behavior Histograms for Action Recognition and Human DetectionThurau2007observerextroceptivenoglobalatomicyesnoyesnot specifiedDemonstrationclassificationRecognitionofflinecategoricalnounidirectionalbodymathematicalk-MeansHOGunsupervisedBenchmarkWeizmann Aug 2018
n-Grams of Action Primitives for Recognizing Human BehaviorThurau & Hlavac2007observerextroceptivenoglobalatomicyesnoyesnot specifiedDemonstrationclassificationRecognitionofflinecategoricalnounidirectionalbodymathematicalPCA, NGrams, Ward's clusteringeigenshapesunsupervisedBenchmarkWeizmann Aug 2018
Recognizing Human Actions by Their PoseThurau & Hlavac2009observerextroceptivenoglobalatomicyesyesyesnot specifiedGround truthclassificationSingle-/Multi-step predictionofflinecategoricalnonot specifiedbodymathematicalk-Means Clustering, NMFprototypical poses, HOGsemi-supervisedBenchmarkWeizmann Aug 2018
Joint classification of actions and object state changes with a latent variable discriminative modelVafeias & Ramamoorthy2014observerextroceptivenomesoatomicnonoyesnot specifiedGround truthclassificationRecognitionofflinecategoricalnounidirectionalenvironmentmathematicalCRFobject pose, body posesupervisedBenchmark drink, push, stack, readAug 2018
Rational imitation for robots: the cost difference modelVanderlest & Winfield2017agentextroceptivenoglobalatomicnonoyesnot specifiedDemonstrationoptimizationPlanningofflinecontinuousnounidirectionalbodymathematicalCost Difference Modelnot specifiedunsupervisedReal Robot navigationAug 2018
On the improvement of human action recognition from depth map sequences using Space–Time Occupancy PatternsVieira et al.2013observerextroceptivenoglobalatomicnonoyesnot specifiedGround truthclassificationRecognitionofflinecategoricalnounidirectionalbodymathematicalAction graphs3D body skeletonsupervisedBenchmarkMSR-Action 3D Aug 2018
STOP: Space-Time Occupancy Patterns for 3D Action Recognition from Depth Map SequencesVieira et al.2012observerextroceptivenoglobalatomicnonoyesnot specifiedGround truthclassificationEffect predictionofflinecategoricalnonot specifiedbodymathematicalSVM, PCAPCA-STOPsupervisedBenchmarkMSR-Action 3D Aug 2018
Multiple Kernel Learning and Optical Flow for Action Recognition in RGB-D VideoViet et al.2015observerextroceptivenoglobalatomicyesnononot specifiedDemonstrationclassificationRecognitionofflinenot specifiednot specifiednot specifiednot specifiedmathematicalMKL classificationdense optical flow, SPHOF on RGB-DsupervisedBenchmarkMSR-Daily Activity, 3D ActionPairs Aug 2018
Probabilistic semantic models for manipulation action representation and extractionVuga et al.2014agentextroceptivenomesoatomicnoyesyesnot specifiedDemonstrationoptimizationRecognitionofflinecontinuousnounidirectionalenvironmentmathematicalSECcolor, surfacesupervisedBenchmark pouring, openingAug 2018
Power difference template for action recognitionWang et al.2017observerextroceptivenoglobalatomicyesnoyesnot specifiedDemonstrationclassificationRecognitionofflinecategoricalnounidirectionalbodymathematicalBOW, SVMnormalized projection histogram, motion kinetic velocitysupervisedBenchmarkKTH, UCF-Sports, UCF-101, HMDB Aug 2018
Hierarchical interpretation of human activities using competitive learningWechsler; Z. Duric; Fayin Li2002observerextroceptivenomesocompoundnonoyesnot specifiedGround truthclassificationRecognitionofflinenot specifiednot specifiednot specifiednot specifiedmathematicalLVQ, clusteringmotion parameterssemi-supervisedBenchmark striking, grinding, swing, stirring Aug 2018
Unsupervised learning of reflexive and action-based affordances to model adaptive navigational behaviorWeiller et al.2010agentextroceptivenoglobalatomicyesyesyesnot specifiedExplorationinferencePlanningonlinecontinuousyesunidirectionalbodymathematicalPlace Fields, Geometrical transition matrixaffordancesunsupervisedReal Robot avoidance, navigationAug 2018
Grounding Neural Robot Language in ActionWermter et al.2005observerextroceptivenoglobalatomicyesyesyesextrinsiccombinationregressionSingle-/Multi-step predictionofflinebothyesbidirectionalbodybiomimeticHelmholtz machine, SOMpose, motor direction, action wordunsupervisedSimulation go, pick, liftAug 2018
Efficient Action Recognition with MoFREAKWhiten; Laganière and Bilodeau2013observerextroceptivenoglobalatomicnonoyesnot specifiedGround truthclassificationRecognitionofflinenot specifiednot specifiednot specifiednot specifiedmathematicalSVMMoFREAK descriptorsupervisedBenchmarkKTH, HMDB Aug 2018
A Simple Ontology of Manipulation Actions Based on Hand-Object RelationsWörgötter et al.2013observerextroceptivenomesoatomicnonoyesnot specifiedDemonstrationclassificationRecognitionofflinecategoricalnounidirectionalenvironmentmathematicalSEC, Ontologiesobject and hand posessupervisedBenchmark manipulationAug 2018
Integration of Heterogeneity for Human-Friendly Robotic OperationsXi & Tarn1999agentextroceptivenoglobalatomicnoyesyesextrinsicDemonstrationoptimizationSingle-/Multi-step predictiononlinecontinuousyesunidirectionalbodymathematicalMapping functionforce, posessupervisedReal Robot obstacle avoidanceAug 2018
Human action recognition framework by fusing multiple featuresXiao & Cheng2013observerextroceptiveyesglobalatomicnonoyesnot specifiedGround truthclassificationRecognitionofflinenot specifiednot specifiednot specifiednot specifiedmathematicalMMI, PSVMdepth motion maps, visual words, HOGsupervisedBenchmarkMSR-Action 3D Aug 2018
Human action learning via hidden Markov modelYang et al.1997agentextroceptivenomesoatomicnonoyesnot specifiedGround truthinferenceSingle-/Multi-step predictionofflinecontinuousyesunidirectionalenvironmentmathematicalHMMcartesian gripper trajectorysupervisedReal Robot replace taskAug 2018
Manipulation action tree bank: A knowledge resource for humanoidsYang et al.2014not specifiednot specifiednonot specifiedcompoundyesyesyesnot specifiedGround truthclassificationPlanningofflinenot specifiednot specifiednot specifiednot specifiedmathematicalTree banksaccelerometer, RGB-D / RGBsupervisedBenchmark50 Salads, TACoS Aug 2018
One-shot learning based pattern transition map for action early recognitionYi et al.2017observerextroceptivenoglobalbothyesyesyesnot specifiedDemonstrationregressionRecognitionofflinecategoricalnounidirectionalenvironmentmathematicalPattern transition maps, Q-Learningpose datasemi-supervisedBenchmark3D ActionPairs, SYSU 3D HOI Aug 2018
Online Multimodal Ensemble Learning Using Self-Learned Sensorimotor RepresentationsZambelli & Demiris2017agentbothnoglobalatomicyesyesyesnot specifiedExplorationregressionSingle-/Multi-step predictiononlinecontinuousyesunidirectionalbothmathematicalEnsemble Learningjoints, RGB images, touch, soundself-supervisedReal Robot piano playingAug 2018
Learning the spatial semantics of manipulation actions through preposition groundingZampogiannis et al.2015agentextroceptivenomesoatomicyesnononot specifiedGround truthclassificationRecognitionofflinebothyesunidirectionalenvironmentmathematicalCollection of PVSRGB-D video, spatial relation predicates on tracked objectsunsupervisedBenchmark pour, transfer, stack, stirAug 2018
View-Independent Human Action Recognition by Action Hypersphere in Nonlinear SubspaceZhang & Zhuang2007observerextroceptivenoglobalatomicyesnoyesnot specifiedDemonstrationclassificationRecognitionofflinecategoricalnounidirectionalbodymathematicalHypersphere classificationmotion history image, polar faturesunsupervisedBenchmarkIXMAS Aug 2018
Unified robot learning of action labels and motion trajectories from 3D human skeletal dataZhang et al.2016observerproprioceptivenoglobalatomicnonoyesnot specifiedDemonstrationclassificationSingle-/Multi-step predictionofflinecategoricalyesunidirectionalenvironmentmathematicalDTW, GMM, SVM, GMRbone vectorssemi-supervisedBenchmarkMSR-Daily Activity Aug 2018
Motion Context: A New Representation for Human Action RecognitionZhang et al.2008observerextroceptivenoglobalatomicnonoyesnot specifiedGround truthclassificationRecognitionofflinecategoricalnonot specifiedbodymathematicalSVM, PLSAmotion words, motion index, motion contextsupervisedBenchmarkKTH, Weizmann Aug 2018
kPose: A New Representation For Action RecognitionZhou et al.2010observerextroceptivenoglobalatomicyesnoyesnot specifiedDemonstrationclassificationRecognitionofflinecategoricalnounidirectionalbodymathematicalPose Weighted Distribution Modelprototypical poses, HOGunsupervisedBenchmarkWeizmann Aug 2018
Human action recognition using multi-layer codebooks of key poses and atomic motionsZhu et al.2016observerextroceptivenoglobalatomicnonoyesnot specifiedGround truthclassificationRecognitionofflinecategoricalnounidirectionalbodymathematicalCodebooks, SVM, NBNN, RF3D body skeletonsupervisedBenchmarkCAD-60, MSRC-12 Aug 2018
Bootstrapping Q-Learning for Robotics from Neuro-Evolution ResultsZimmer & Doncieux2017agentbothyesglobalatomicyesyesyesintrinsicExplorationoptimizationPlanningofflinecategoricalyesunidirectionalenvironmentmathematicalPolicy Search, Clusteringdistance, tactile, poses, unsupervisedSimulation ball collecting, box pushingAug 2018
Title Author Year Perspective Stimuli Selective Attention Granularity Abstraction Competition Sequencing Generalization Motivation Acquisition Prediction Exploitation Learning Discretization Grounding Associativity Effect Correspondence Formulation Method Features Training Evaluation Datasets Actions Date Added

Updates:

  • Initial release of this page (08/2018)