Yasemin Bekiroglu

Alexander Terenin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Grasp Transfer Based on Self-Aligning Implicit Representations of Local Surfaces.

[BibT_eX]

[DOI]

Ahmet Ercan Tekden

IEEE Robotics Autom. Lett., October, 2023

Differentiable Robot Neural Distance Function for Adaptive Grasp Synthesis on a Unified Robotic Arm-Hand System.

[BibT_eX]

[DOI]

CoRR, 2023

Benchmarking local motion planners for navigation of mobile manipulators.

[BibT_eX]

[DOI]

Proceedings of the IEEE/SICE International Symposium on System Integration, 2023

Neural Field Movement Primitives for Joint Modelling of Scenes and Motions.

[BibT_eX]

[DOI]

Ahmet Ercan Tekden

IROS, 2023

Sliding Touch-Based Exploration for Modeling Unknown Object Shape with Multi-Fingered Hands.

[BibT_eX]

[DOI]

Yiting Chen

Ahmet Ercan Tekden

IROS, 2023

GraspAda: Deep Grasp Adaptation through Domain Transfer.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Safe Trajectory Sampling in Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

Enhanced GPIS Learning Based on Local and Global Focus Areas.

[BibT_eX]

[DOI]

Zuka Murvanidze

IEEE Robotics Autom. Lett., 2022

DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model.

[BibT_eX]

[DOI]

Nishad Gothoskar

Miguel Lázaro-Gredilla

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Bayesian Optimization-based Nonlinear Adaptive PID Controller Design for Robust Mobile Manipulation.

[BibT_eX]

[DOI]

Hadi Hajieghrary

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

Simultaneous Tactile Exploration and Grasp Refinement for Unknown Objects.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

2020

Object shape estimation and modeling, based on sparse Gaussian process implicit surfaces, combining visual data and tactile exploration.

[BibT_eX]

[DOI]

Gabriela Zarzar Gandler

Robotics Auton. Syst., 2020

Benchmarking Protocol for Grasp Planning Algorithms.

[BibT_eX]

[DOI]

Komlan Jean Maxime Adjigble

Naresh Marturi

Máximo A. Roa

IEEE Robotics Autom. Lett., 2020

Learning a generative model for robot control using visual feedback.

[BibT_eX]

[DOI]

Nishad Gothoskar

Miguel Lázaro-Gredilla

Abhishek Agarwal

Dileep George

CoRR, 2020

2019

Dynamic grasp and trajectory planning for moving objects.

[BibT_eX]

[DOI]

Naresh Marturi

Marek Sewer Kopicki

Alireza Rastegarpanah

Vijaykumar Rajasekaran

Auton. Robots, 2019

2018

Evaluating the Quality of Non-Prehensile Balancing Grasps.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Grasp quality evaluation done right: How assumed contact force bounds affect Wrench-based quality metrics.

[BibT_eX]

[DOI]

Robert Krug

Máximo A. Roa

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Hierarchical Fingertip Space: A Unified Framework for Grasp Planning and In-Hand Grasp Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2016

CapriDB - Capture, Print, Innovate: A Low-Cost Pipeline and Database for Reproducible Manipulation Research.

[BibT_eX]

[DOI]

CoRR, 2016

Active exploration using Gaussian Random Fields and Gaussian Process Implicit Surfaces.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Probabilistic consolidation of grasp experience.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Analytic grasp success prediction with tactile feedback.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Learning Predictive State Representation for in-hand manipulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Learning of grasp adaptation through experience and tactile sensing.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

What's in the container? Classifying object contents from vision and touch.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Grasp moduli spaces and spherical harmonics.

[BibT_eX]

[DOI]

Florian T. Pokorny

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Learning to disambiguate object hypotheses through self-exploration.

[BibT_eX]

[DOI]

Mårten Björkman

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013

Enhancing visual perception of shape through tactile glances.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

A probabilistic framework for task-oriented grasp stability assessment.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Predicting slippage and learning manipulation affordances through Gaussian Process regression.

[BibT_eX]

[DOI]

Francisco E. Vina

Christian Smith

Yiannis Karayiannidis

Proceedings of the 13th IEEE-RAS International Conference on Humanoid Robots, 2013

2012

Learning to Assess Grasp Stability from Vision, Touch and Proprioception.

[BibT_eX]

[DOI]

PhD thesis, 2012

2011

Assessing Grasp Stability Based on Learning and Haptic Data.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2011

Learning tactile characterizations of object- and pose-specific grasps.

[BibT_eX]

[DOI]

Renaud Detry

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Integrating grasp planning with online stability assessment using tactile sensing.

[BibT_eX]

[DOI]

Kai Huebner

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

Learning grasp stability based on tactile data and HMMs.

[BibT_eX]

[DOI]