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A Survey of the Ontogeny of Tool Use: From Sensorimotor Experience to Planning

IEEE transactions on autonomous mental development, 2013-03, Vol.5 (1), p.18-45

2013

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IEEE_Xplore

Structural Bootstrapping-A Novel, Generative Mechanism for Faster and More Efficient Acquisition of Action-Knowledge

IEEE transactions on autonomous mental development, 2015-06, Vol.7 (2), p.140-154

2015

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IEEE_Xplore

Rotational Subgroup Voting and Pose Clustering for Robust 3D Object Recognition

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.4137-4145

2017

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IEEE_Xplore

Identifying relevant feature-action associations for grasping unmodelled objects

Paladyn (Warsaw), 2015-03, Vol.6 (1)

2015

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Optimizing Sensor Placement: A Mixture Model Framework Using Stable Poses and Sparsely Precomputed Pose Uncertainty Predictions

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, p.6652-6659

2018

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IEEE_Xplore

Learning object relationships which determine the outcome of actions

Paladyn (Warsaw), 2012-12, Vol.3 (4), p.188-199

2012

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BOP: Benchmark for 6D Object Pose Estimation

Computer Vision – ECCV 2018, p.19-35

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Integrating multi-purpose natural language understanding, robot’s memory, and symbolic planning for task execution in humanoid robots

Robotics and autonomous systems, 2018-01, Vol.99, p.148-165

2018

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Bootstrapping Relational Affordances of Object Pairs Using Transfer

IEEE transactions on cognitive and developmental systems, 2018-03, Vol.10 (1), p.56-71

2018

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IEEE_Xplore

Object–Action Complexes: Grounded abstractions of sensory–motor processes

Robotics and autonomous systems, 2011-10, Vol.59 (10), p.740-757

2011

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Prediction of ICP pose uncertainties using Monte Carlo simulation with synthetic depth images

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017, p.4640-4647

2017

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IEEE_Xplore

A strategy for grasping unknown objects based on co-planarity and colour information

Robotics and autonomous systems, 2010-05, Vol.58 (5), p.551-565

2010

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Rapid Estimation of Optical Properties for Simulation-Based Evaluation of Pose Estimation Performance

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, p.2030-2037

2019

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IEEE_Xplore

Learning visual representations for perception-action systems

The International journal of robotics research, 2011-03, Vol.30 (3), p.294-307

2011

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The Sliced Pineapple Grid Feature for Predicting Grasping Affordances

Computer Vision, Imaging and Computer Graphics Theory and Applications, p.418-438

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Real-time extraction of surface patches with associated uncertainties by means of Kinect cameras

Journal of real-time image processing, 2015-03, Vol.10 (1), p.105-118

2015

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Using surfaces and surface relations in an Early Cognitive Vision system

Machine vision and applications, 2015-11, Vol.26 (7-8), p.933-954

2015

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On transferability and contexts when using simulated grasp databases

Robotica, 2015-06, Vol.33 (5), p.1131-1146

2015

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Extracting Categories by Hierarchical Clustering Using Global Relational Features

Pattern Recognition and Image Analysis, p.541-551

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A Structured Light Scanner for Hyper Flexible Industrial Automation

2014 2nd International Conference on 3D Vision, 2014, Vol.1, p.401-408

2014

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Increasing Safety by Combining Multiple Declarative Rules in Robotic Perception Systems

Cyber Physical Systems. Design, Modeling, and Evaluation, p.43-60

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In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components

2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), 2022, p.382-389

2022

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IEEE_Xplore

Shape Dependency of ICP Pose Uncertainties in the Context of Pose Estimation Systems

Computer Vision Systems, p.303-315

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Development of Object and Grasping Knowledge by Robot Exploration

IEEE transactions on autonomous mental development, 2010-12, Vol.2 (4), p.368-383

2010

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IEEE_Xplore

Applying Simulation and a Domain-Specific Language for an Adaptive Action Library

Simulation, Modeling, and Programming for Autonomous Robots, p.86-97

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A Survey of the Ontogeny of Tool Use: From Sensorimotor Experience to Planning

Structural Bootstrapping-A Novel, Generative Mechanism for Faster and More Efficient Acquisition of Action-Knowledge

Rotational Subgroup Voting and Pose Clustering for Robust 3D Object Recognition

Identifying relevant feature-action associations for grasping unmodelled objects

Optimizing Sensor Placement: A Mixture Model Framework Using Stable Poses and Sparsely Precomputed Pose Uncertainty Predictions

Learning object relationships which determine the outcome of actions

BOP: Benchmark for 6D Object Pose Estimation

Integrating multi-purpose natural language understanding, robot’s memory, and symbolic planning for task execution in humanoid robots

Bootstrapping Relational Affordances of Object Pairs Using Transfer

Object–Action Complexes: Grounded abstractions of sensory–motor processes

Prediction of ICP pose uncertainties using Monte Carlo simulation with synthetic depth images

A strategy for grasping unknown objects based on co-planarity and colour information

Rapid Estimation of Optical Properties for Simulation-Based Evaluation of Pose Estimation Performance

Learning visual representations for perception-action systems

The Sliced Pineapple Grid Feature for Predicting Grasping Affordances

Real-time extraction of surface patches with associated uncertainties by means of Kinect cameras

Using surfaces and surface relations in an Early Cognitive Vision system

On transferability and contexts when using simulated grasp databases

Extracting Categories by Hierarchical Clustering Using Global Relational Features

A Structured Light Scanner for Hyper Flexible Industrial Automation

Increasing Safety by Combining Multiple Declarative Rules in Robotic Perception Systems

In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components

Shape Dependency of ICP Pose Uncertainties in the Context of Pose Estimation Systems

Development of Object and Grasping Knowledge by Robot Exploration

Applying Simulation and a Domain-Specific Language for an Adaptive Action Library

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