Yasemin Bekiroglu

A Unifying Variational Framework for Gaussian Process Motion Planning

Grasp Transfer based on Self-Aligning Implicit Representations of Local Surfaces

Benchmarking Local Motion Planners for Navigation of Mobile Manipulators

GraspAda: Deep Grasp Adaptation through Domain Transfer

Grasp Transfer based on Self-Aligning Implicit Representations of Local Surfaces

Enhanced GPIS learning based on local and global focus areas

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

Neural Field Movement Primitives for Joint Modelling of Scenes and Motions

Neural Field Movement Primitives for Joint Modelling of Scenes and Motions

Safe Trajectory Sampling in Model-Based Reinforcement Learning

Affordance Transfer based on Self-Aligning Implicit Representations of Local Surfaces

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

Simultaneous Tactile Exploration and Grasp Refinement

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

Bayesian Optimization based Nonlinear Adaptive PID Design for Robust Control of the Joints at Mobile Manipulators

Enhanced GPIS Learning Based on Local and Global Focus Areas

Simultaneous Tactile Exploration and Grasp Refinement for Unknown Objects

Simultaneous Tactile Exploration and Grasp Refinement for Unknown Objects

Benchmarking Protocol for Grasp Planning Algorithms

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

Visual and Tactile 3D Point Cloud Data from Real Robots for Shape Modeling and Completion

Dynamic grasp and trajectory planning for moving objects

Evaluating the Quality of Non-Prehensile Balancing Grasps

Shape Modeling based on Sparse Gaussian Process Implicit Surfaces

Teaching Assembly by Demonstration using Advanced Human Robot Interaction and a Knowledge Integration Framework

Towards advanced robotic manipulation for nuclear decommissioning

A Database for Reproducible Manipulation Research: CapriDB - Capture, Print, Innovate

Grasp Quality Evaluation Done Right: How Assumed Contact Force Bounds Affect Wrench-Based Quality Metrics

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

Towards advanced robotic manipulation for nuclear decommissioning: A pilot study on tele-operation and autonomy

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

Probabilistic Consolidation of Grasp Experience

Analytic Grasp Success Prediction with Tactile Feedback

Active Exploration Using Gaussian Random Fields and Gaussian Process Implicit Surfaces

Learning Predictive State Representation for In-Hand Manipulation

Grasp Moduli Spaces and Spherical Harmonics

Hierarchical Fingertip Space for Synthesizing Adaptable Fingertip Grasps

What's in the Container? Classifying Object Contents from Vision and Touch

Learning to Disambiguate Object Hypotheses through Self-Exploration

Grasp Moduli Spaces, Gaussian Processes and Multimodal Sensor Data

Learning of Grasp Adaptation through Experience and Tactile Sensing

Enhancing Visual Perception of Shape through Tactile Glances

Predicting Slippage and Learning Manipulation Affordances through Gaussian Process Regression

A Probabilistic Framework for Task-Oriented Grasp Stability Assessment

Grasp Stability from Vision and Touch

Learning Task- and Touch-based Grasping

Assessing grasp stability based on learning and haptic data

Learning Tactile Characterizations Of Object- And Pose-specific Grasps

Integrating Grasp Planning with Online Stability Assessment using Tactile Sensing

Joint Observation of Object Pose and Tactile Imprints for Online Grasp Stability Assessment

Learning grasp stability with tactile data and HMMs

Learning grasp stability based on haptic data