Oliver Kroemer

Affiliations:
  • Max Planck Institute for Informatics, Saarbücken, Germany


According to our database1, Oliver Kroemer authored at least 114 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
DeltaHands: A Synergistic Dexterous Hand Framework Based on Delta Robots.
IEEE Robotics Autom. Lett., February, 2024

Enhancing Dexterity in Robotic Manipulation via Hierarchical Contact Exploration.
IEEE Robotics Autom. Lett., January, 2024

MResT: Multi-Resolution Sensing for Real-Time Control with Vision-Language Models.
CoRR, 2024

Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models.
CoRR, 2024

2023
Towards Robotic Tree Manipulation: Leveraging Graph Representations.
CoRR, 2023

Towards Autonomous Crop Monitoring: Inserting Sensors in Cluttered Environments.
CoRR, 2023

Estimating Material Properties of Interacting Objects Using Sum-GP-UCB.
CoRR, 2023

Efficient Recovery Learning using Model Predictive Meta-Reasoning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Linear Delta Arrays for Compliant Dexterous Distributed Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Focused Adaptation of Dynamics Models for Deformable Object Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Multi-Resolution Sensing for Real-Time Control with Vision-Language Models.
Proceedings of the Conference on Robot Learning, 2023

SCALE: Causal Learning and Discovery of Robot Manipulation Skills using Simulation.
Proceedings of the Conference on Robot Learning, 2023

2022
Mission-level Robustness with Rapidly-deployed, Autonomous Aerial Vehicles by Carnegie Mellon Team Tartan at MBZIRC 2020.
Field Robotics, March, 2022

Efficiently Learning Recoveries from Failures Under Partial Observability.
CoRR, 2022

Linear Delta Arrays for Dexterous Distributed Manipulation.
CoRR, 2022

Learning to Singulate Layers of Cloth using Tactile Feedback.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Efficiently Learning Manipulations by Selecting Structured Skill Representations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Dynamic Inference on Graphs using Structured Transition Models.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

DeltaZ: An Accessible Compliant Delta Robot Manipulator for Research and Education.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning Preconditions of Hybrid Force-Velocity Controllers for Contact-Rich Manipulation.
Proceedings of the Conference on Robot Learning, 2022

INQUIRE: INteractive Querying for User-aware Informative REasoning.
Proceedings of the Conference on Robot Learning, 2022

2021
Policy Blending and Recombination for Multimodal Contact-Rich Tasks.
IEEE Robotics Autom. Lett., 2021

A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms.
J. Mach. Learn. Res., 2021

Carnegie Mellon Team Tartan: Mission-level Robustness with Rapidly Deployed Autonomous Aerial Vehicles in the MBZIRC 2020.
CoRR, 2021

Adaptive Sampling: Algorithmic vs. Human Waypoint Selection.
CoRR, 2021

A Low-Cost Compliant Gripper Using Cooperative Mini-Delta Robots for Dexterous Manipulation.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Visual Identification of Articulated Object Parts.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Towards Robust Planar Translations using Delta-manipulator Arrays.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Generalizing Object-Centric Task-Axes Controllers using Keypoints.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Reactive and Predictive Differentiable Controllers for Switching Linear Dynamical Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Contact Localization for Robot Arms in Motion without Torque Sensing.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Causal Reasoning in Simulation for Structure and Transfer Learning of Robot Manipulation Policies.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Model Preconditions for Planning with Multiple Models.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
A Review of Tactile Information: Perception and Action Through Touch.
IEEE Trans. Robotics, 2020

Multi-Modal Transfer Learning for Grasping Transparent and Specular Objects.
IEEE Robotics Autom. Lett., 2020

Soft Magnetic Tactile Skin for Continuous Force and Location Estimation Using Neural Networks.
IEEE Robotics Autom. Lett., 2020

A Modular Robotic Arm Control Stack for Research: Franka-Interface and FrankaPy.
CoRR, 2020

Learning Active Task-Oriented Exploration Policies for Bridging the Sim-to-Real Gap.
Proceedings of the Robotics: Science and Systems XVI, 2020

Playing with Food: Learning Food Item Representations Through Interactive Exploration.
Proceedings of the Experimental Robotics - The 17th International Symposium, 2020

Characterization of Compliant Parallelogram Links for 3D-Printed Delta Manipulators.
Proceedings of the Experimental Robotics - The 17th International Symposium, 2020

Learning Skills to Patch Plans Based on Inaccurate Models.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Localization and Force-Feedback with Soft Magnetic Stickers for Precise Robot Manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Camera-to-Robot Pose Estimation from a Single Image.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps.
Proceedings of the 4th Conference on Robot Learning, 2020

Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation.
Proceedings of the 4th Conference on Robot Learning, 2020

Relational Learning for Skill Preconditions.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Towards Precise Robotic Grasping by Probabilistic Post-grasp Displacement Estimation.
CoRR, 2019

Learning Semantic Embedding Spaces for Slicing Vegetables.
CoRR, 2019

Special issue on artificial intelligence and machine learning for robotic manipulation.
Adv. Robotics, 2019

Soft Magnetic Skin for Continuous Deformation Sensing.
Adv. Intell. Syst., 2019

Predicting Grasp Success with a Soft Sensing Skin and Shape-Memory Actuated Gripper.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Homography-Based Deep Visual Servoing Methods for Planar Grasps.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Learning Robust Manipulation Strategies with Multimodal State Transition Models and Recovery Heuristics.
Proceedings of the International Conference on Robotics and Automation, 2019

Leveraging Multimodal Haptic Sensory Data for Robust Cutting.
Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019

Toward Precise Robotic Grasping by Probabilistic Post-grasp Displacement Estimation.
Proceedings of the Field and Service Robotics, 2019

Graph-Structured Visual Imitation.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
A kernel-based approach to learning contact distributions for robot manipulation tasks.
Auton. Robots, 2018

Learning Manipulation Graphs from Demonstrations Using Multimodal Sensory Signals.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Pilot Surveys for Adaptive Informative Sampling.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Learning Audio Feedback for Estimating Amount and Flow of Granular Material.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
A Comparison of Autoregressive Hidden Markov Models for Multimodal Manipulations With Variable Masses.
IEEE Robotics Autom. Lett., 2017

Probabilistic movement primitives for coordination of multiple human-robot collaborative tasks.
Auton. Robots, 2017

Feature selection for learning versatile manipulation skills based on observed and desired trajectories.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Regrasping Using Tactile Perception and Supervised Policy Learning.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2016
Hierarchical Relative Entropy Policy Search.
J. Mach. Learn. Res., 2016

Learning Relevant Features for Manipulation Skills using Meta-Level Priors.
CoRR, 2016

Learning to Switch Between Sensorimotor Primitives Using Multimodal Haptic Signals.
Proceedings of the From Animals to Animats 14, 2016

Meta-level Priors for Learning Manipulation Skills with Sparse Features.
Proceedings of the International Symposium on Experimental Robotics, 2016

Generalizing Regrasping with Supervised Policy Learning.
Proceedings of the International Symposium on Experimental Robotics, 2016

Contact localization on grasped objects using tactile sensing.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Learning spatial preconditions of manipulation skills using random forests.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015
Active reward learning with a novel acquisition function.
Auton. Robots, 2015

Towards learning hierarchical skills for multi-phase manipulation tasks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

A comparison of contact distribution representations for learning to predict object interactions.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

2014
Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments.
IEEE Trans. Robotics, 2014

Active Reward Learning.
Proceedings of the Robotics: Science and Systems X, 2014

Predicting object interactions from contact distributions.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Learning robot tactile sensing for object manipulation.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Learning to predict phases of manipulation tasks as hidden states.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Interaction primitives for human-robot cooperation tasks.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot.
Proceedings of the Intelligent Autonomous Systems 13, 2014

Generalizing pouring actions between objects using warped parameters.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013
Learning to select and generalize striking movements in robot table tennis.
Int. J. Robotics Res., 2013

Towards Robot Skill Learning: From Simple Skills to Table Tennis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Learning sequential motor tasks.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Probabilistic interactive segmentation for anthropomorphic robots in cluttered environments.
Proceedings of the 13th IEEE-RAS International Conference on Humanoid Robots, 2013

2012
Structured Apprenticeship Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Algorithms for Learning Markov Field Policies.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Maximally informative interaction learning for scene exploration.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Generalization of human grasping for multi-fingered robot hands.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

A kernel-based approach to direct action perception.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Point cloud completion using extrusions.
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

Robot Skill Learning.
Proceedings of the ECAI 2012, 2012

2011
Learning Dynamic Tactile Sensing With Robust Vision-Based Training.
IEEE Trans. Robotics, 2011

Learning grasp affordance densities.
Paladyn J. Behav. Robotics, 2011

Learning visual representations for perception-action systems.
Int. J. Robotics Res., 2011

A Non-Parametric Approach to Dynamic Programming.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Learning robot grasping from 3-D images with Markov Random Fields.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

A flexible hybrid framework for modeling complex manipulation tasks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Active exploration for robot parameter selection in episodic reinforcement learning.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010
Learning Continuous Grasp Affordances by Sensorimotor Exploration.
Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010

Combining active learning and reactive control for robot grasping.
Robotics Auton. Syst., 2010

Adapting Preshaped Grasping Movements Using Vision Descriptors.
Proceedings of the From Animals to Animats 11, 2010

Learning probabilistic discriminative models of grasp affordances under limited supervision.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Movement templates for learning of hitting and batting.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Grasping with Vision Descriptors and Motor Primitives.
Proceedings of the ICINCO 2010, 2010

Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning.
Proceedings of the Computer Vision, 2010

2009
Learning Visual Representations for Interactive Systems.
Proceedings of the Robotics Research - The 14th International Symposium, 2009

Towards Motor Skill Learning for Robotics.
Proceedings of the Robotics Research - The 14th International Symposium, 2009

Active learning using mean shift optimization for robot grasping.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009


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