Jeannette Bohg

According to our database, Jeannette Bohg authored at least 123 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches.

Priya Sundaresan, Quan Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh, Jeannette Bohg, Stefan Schaal

CoRR, 2024

Tactile-Informed Action Primitives Mitigate Jamming in Dense Clutter.

Dane Brouwer, Joshua Citron, Hojung Choi, Marion Lepert, Michael A. Lin, Jeannette Bohg, Mark R. Cutkosky

CoRR, 2024

2023

TidyBot: personalized robot assistance with large language models.

Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz, Thomas A. Funkhouser

Auton. Robots, December, 2023

Text2Motion: from natural language instructions to feasible plans.

Kevin Lin, Christopher Agia, Toki Migimatsu, Marco Pavone, Jeannette Bohg

Auton. Robots, December, 2023

Deep Learning Approaches to Grasp Synthesis: A Review.

Rhys Newbury, Morris Gu, Lachlan Chumbley, Arsalan Mousavian, Clemens Eppner, Jürgen Leitner, Jeannette Bohg, Antonio Morales, Tamim Asfour, Danica Kragic, Dieter Fox, Akansel Cosgun

IEEE Trans. Robotics, October, 2023

EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation.

Jingyun Yang, Congyue Deng, Jimmy Wu, Rika Antonova, Leonidas J. Guibas, Jeannette Bohg

CoRR, 2023

AO-Grasp: Articulated Object Grasp Generation.

Carlota Parés-Morlans, Claire Chen, Yijia Weng, Michelle Yi, Yuying Huang, Nick Heppert, Linqi Zhou, Leonidas J. Guibas, Jeannette Bohg

CoRR, 2023

Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning.

Jingyun Yang, Max Sobol Mark, Brandon Vu, Archit Sharma, Jeannette Bohg, Chelsea Finn

CoRR, 2023

ShaSTA-Fuse: Camera-LiDAR Sensor Fusion to Model Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking.

Tara Sadjadpour, Rares Ambrus, Jeannette Bohg

CoRR, 2023

The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects.

Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu

CoRR, 2023

In-Hand Manipulation of Unknown Objects with Tactile Sensing for Insertion.

Chaoyi Pan, Marion Lepert, Shenli Yuan, Rika Antonova, Jeannette Bohg

IROS, 2023

Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks.

Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg

IROS, 2023

Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation.

Mengxi Li, Rika Antonova, Dorsa Sadigh, Jeannette Bohg

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

Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations.

Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi

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

STAP: Sequencing Task-Agnostic Policies.

Christopher Agia, Toki Migimatsu, Jiajun Wu, Jeannette Bohg

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

CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects.

Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects.

Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

KITE: Keypoint-Conditioned Policies for Semantic Manipulation.

Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh, Jeannette Bohg

Proceedings of the Conference on Robot Learning, 2023

2022

Predicting Hand-Object Interaction for Improved Haptic Feedback in Mixed Reality.

Mike Salvato, Negin Heravi, Allison M. Okamura, Jeannette Bohg

IEEE Robotics Autom. Lett., 2022

A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation.

Rika Antonova, Jingyun Yang, Priya Sundaresan, Dieter Fox, Fabio Ramos, Jeannette Bohg

IEEE Robotics Autom. Lett., 2022

Vision-Only Robot Navigation in a Neural Radiance World.

Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, Mac Schwager

IEEE Robotics Autom. Lett., 2022

Combining learned and analytical models for predicting action effects from sensory data.

Alina Kloss, Stefan Schaal, Jeannette Bohg

Int. J. Robotics Res., 2022

Development and Evaluation of a Learning-based Model for Real-time Haptic Texture Rendering.

Negin Heravi, Heather Culbertson, Allison M. Okamura, Jeannette Bohg

CoRR, 2022

Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks.

Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg

CoRR, 2022

ShaSTA: Modeling Shape and 0031Spatio-Temporal Affinities for 3D Multi-Object Tracking.

Tara Sadjadpour, Jie Li, Rares Ambrus, Jeannette Bohg

CoRR, 2022

Task-Driven In-Hand Manipulation of Unknown Objects with Tactile Sensing.

Chaoyi Pan, Marion Lepert, Shenli Yuan, Rika Antonova, Jeannette Bohg

CoRR, 2022

TAPS: Task-Agnostic Policy Sequencing.

Christopher Agia, Toki Migimatsu, Jiajun Wu, Jeannette Bohg

CoRR, 2022

Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking.

JunYoung Gwak, Silvio Savarese, Jeannette Bohg

CoRR, 2022

Learning latent actions to control assistive robots.

Dylan P. Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, Dorsa Sadigh

Auton. Robots, 2022

Dynamic multi-robot task allocation under uncertainty and temporal constraints.

Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg

Auton. Robots, 2022

DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects.

Priya Sundaresan, Rika Antonova, Jeannette Bohg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Whisker-Inspired Tactile Sensing for Contact Localization on Robot Manipulators.

Michael A. Lin, Emilio Reyes, Jeannette Bohg, Mark R. Cutkosky

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Category-Independent Articulated Object Tracking with Factor Graphs.

Nick Heppert, Toki Migimatsu, Brent Yi, Claire Chen, Jeannette Bohg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning Periodic Tasks from Human Demonstrations.

Jingyun Yang, Junwu Zhang, Connor Settle, Akshara Rai, Rika Antonova, Jeannette Bohg

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

Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks.

Toki Migimatsu, Wenzhao Lian, Jeannette Bohg, Stefan Schaal

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

Grounding Predicates through Actions.

Toki Migimatsu, Jeannette Bohg

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

ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer.

Ruohan Gao, Zilin Si, Yen-Yu Chang, Samuel Clarke, Jeannette Bohg, Li Fei-Fei, Wenzhen Yuan, Jiajun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Rethinking Optimization with Differentiable Simulation from a Global Perspective.

Rika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula, Jeannette Bohg

Proceedings of the Conference on Robot Learning, 2022

2021

Robotic Hands, Grasping, And Manipulation [TC Spotlight].

Matteo Bianchi, Jeannette Bohg, Hyungpil Moon, Robert Platt, Rich Walker

IEEE Robotics Autom. Mag., 2021

Concept2Robot: Learning manipulation concepts from instructions and human demonstrations.

Lin Shao, Toki Migimatsu, Qiang Zhang, Karen Yang, Jeannette Bohg

Int. J. Robotics Res., 2021

From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence.

Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake A. Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint, Michiel van de Panne

CoRR, 2021

On the Opportunities and Risks of Foundation Models.

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.

CoRR, 2021

How to train your differentiable filter.

Alina Kloss, Georg Martius, Jeannette Bohg

Auton. Robots, 2021

Differentiable Factor Graph Optimization for Learning Smoothers.

Brent Yi, Michelle A. Lee, Alina Kloss, Roberto Martín-Martín, Jeannette Bohg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

TrajectoTree: Trajectory Optimization Meets Tree Search for Planning Multi-contact Dexterous Manipulation.

Claire Chen, Preston Culbertson, Marion Lepert, Mac Schwager, Jeannette Bohg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Interpreting Contact Interactions to Overcome Failure in Robot Assembly Tasks.

Peter A. Zachares, Michelle A. Lee, Wenzhao Lian, Jeannette Bohg

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation.

Yifan You, Lin Shao, Toki Migimatsu, Jeannette Bohg

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors.

Michelle A. Lee, Matthew Tan, Yuke Zhu, Jeannette Bohg

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving.

Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

XIRL: Cross-embodiment Inverse Reinforcement Learning.

Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

GRAC: Self-Guided and Self-Regularized Actor-Critic.

Lin Shao, Yifan You, Mengyuan Yan, Shenli Yuan, Qingyun Sun, Jeannette Bohg

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

DiffImpact: Differentiable Rendering and Identification of Impact Sounds.

Samuel Clarke, Negin Heravi, Mark Rau, Ruohan Gao, Jiajun Wu, Doug L. James, Jeannette Bohg

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Learning to be Multimodal : Co-evolving Sensory Modalities and Sensor Properties.

Rika Antonova, Jeannette Bohg

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks.

Michelle A. Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg

IEEE Trans. Robotics, 2020

Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects.

Mengyuan Yan, Yilin Zhu, Ning Jin, Jeannette Bohg

IEEE Robotics Autom. Lett., 2020

UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands.

Lin Shao, Fábio Ferreira, Mikael Jorda, Varun Nambiar, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Oussama Khatib, Jeannette Bohg

IEEE Robotics Autom. Lett., 2020

Object-Centric Task and Motion Planning in Dynamic Environments.

Toki Migimatsu, Jeannette Bohg

IEEE Robotics Autom. Lett., 2020

Learning Task-Oriented Grasping From Human Activity Datasets.

Mia Kokic, Danica Kragic, Jeannette Bohg

IEEE Robotics Autom. Lett., 2020

GRAC: Self-Guided and Self-Regularized Actor-Critic.

Lin Shao, Yifan You, Mengyuan Yan, Qingyun Sun, Jeannette Bohg

CoRR, 2020

Probabilistic 3D Multi-Object Tracking for Autonomous Driving.

Hsu-Kuang Chiu, Antonio Prioletti, Jie Li, Jeannette Bohg

CoRR, 2020

Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations.

Lin Shao, Toki Migimatsu, Qiang Zhang, Kaiyuan Yang, Jeannette Bohg

Proceedings of the Robotics: Science and Systems XVI, 2020

Learning Topological Motion Primitives for Knot Planning.

Mengyuan Yan, Gen Li, Yilin Zhu, Jeannette Bohg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning User-Preferred Mappings for Intuitive Robot Control.

Mengxi Li, Dylan P. Losey, Jeannette Bohg, Dorsa Sadigh

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Multimodal Sensor Fusion with Differentiable Filters.

Michelle A. Lee, Brent Yi, Roberto Martín-Martín, Silvio Savarese, Jeannette Bohg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning to Scaffold the Development of Robotic Manipulation Skills.

Lin Shao, Toki Migimatsu, Jeannette Bohg

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning Hierarchical Control for Robust In-Hand Manipulation.

Tingguang Li, Krishnan Srinivasan, Max Qing-Hu Meng, Wenzhen Yuan, Jeannette Bohg

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Accurate Vision-based Manipulation through Contact Reasoning.

Alina Kloss, Maria Bauzá, Jiajun Wu, Joshua B. Tenenbaum, Alberto Rodriguez, Jeannette Bohg

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning an Action-Conditional Model for Haptic Texture Generation.

Negin Heravi, Wenzhen Yuan, Allison M. Okamura, Jeannette Bohg

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Predicting grasp success in the real world - A study of quality metrics and human assessment.

Carlos Rubert, Daniel Kappler, Jeannette Bohg, Antonio Morales

Robotics Auton. Syst., 2019

UniGrasp: Learning a Unified Model to Grasp with N-Fingered Robotic Hands.

Lin Shao, Fábio Ferreira, Mikael Jorda, Varun Nambiar, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Oussama Khatib, Jeannette Bohg

CoRR, 2019

Learning Visual Dynamics Models of Rigid Objects using Relational Inductive Biases.

Fábio Ferreira, Lin Shao, Tamim Asfour, Jeannette Bohg

CoRR, 2019

Learning Manipulation under Physics Constraints with Visual Perception.

Wenbin Li, Ales Leonardis, Jeannette Bohg, Mario Fritz

CoRR, 2019

Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks.

Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner, Silvio Savarese, Jeannette Bohg, Animesh Garg

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Learning to Estimate Pose and Shape of Hand-Held Objects from RGB Images.

Mia Kokic, Danica Kragic, Jeannette Bohg

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Leveraging Contact Forces for Learning to Grasp.

Hamza Merzic, Miroslav Bogdanovic, Daniel Kappler, Ludovic Righetti, Jeannette Bohg

Proceedings of the International Conference on Robotics and Automation, 2019

Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks.

Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg

Proceedings of the International Conference on Robotics and Automation, 2019

MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences.

Xingyu Liu, Mengyuan Yan, Jeannette Bohg

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning from My Partner's Actions: Roles in Decentralized Robot Teams.

Dylan P. Losey, Mengxi Li, Jeannette Bohg, Dorsa Sadigh

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Motion-Based Object Segmentation Based on Dense RGB-D Scene Flow.

Lin Shao, Parth Shah, Vikranth Dwaracherla, Jeannette Bohg

IEEE Robotics Autom. Lett., 2018

Real-Time Perception Meets Reactive Motion Generation.

Daniel Kappler, Franziska Meier, Jan Issac, Jim Mainprice, Cristina Garcia Cifuentes, Manuel Wuthrich, Vincent Berenz, Stefan Schaal, Nathan D. Ratliff, Jeannette Bohg

IEEE Robotics Autom. Lett., 2018

Grasp success prediction with quality metrics.

Carlos Rubert, Daniel Kappler, Jeannette Bohg, Antonio Morales

CoRR, 2018

ClusterNet: Instance Segmentation in RGB-D Images.

Lin Shao, Ye Tian, Jeannette Bohg

CoRR, 2018

2017

Interactive Perception: Leveraging Action in Perception and Perception in Action.

Jeannette Bohg, Karol Hausman, Bharath Sankaran, Oliver Brock, Danica Kragic, Stefan Schaal, Gaurav S. Sukhatme

IEEE Trans. Robotics, 2017

Probabilistic Articulated Real-Time Tracking for Robot Manipulation.

Cristina Garcia Cifuentes, Jan Issac, Manuel Wüthrich, Stefan Schaal, Jeannette Bohg

IEEE Robotics Autom. Lett., 2017

Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning.

Wenbin Li, Jeannette Bohg, Mario Fritz

CoRR, 2017

Combining learned and analytical models for predicting action effects.

Alina Kloss, Stefan Schaal, Jeannette Bohg

CoRR, 2017

Reports on the 2017 AAAI Spring Symposium Series.

Jeannette Bohg, Xavier Boix, Nancy Chang, Elizabeth F. Churchill, Vivian Chu, Fei Fang, Jerome Feldman, Avelino J. Gonzalez, Takashi Kido, William F. Lawless, José L. Montaña, Santiago Ontañón, Jivko Sinapov, Donald A. Sofge, Luc Steels, Molly Wright Steenson, Keiki Takadama, Amulya Yadav

AI Mag., 2017

On the relevance of grasp metrics for predicting grasp success.

Carlos Rubert, Daniel Kappler, Antonio Morales, Stefan Schaal, Jeannette Bohg

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

On the Fundamental Importance of Gauss-Newton in Motion Optimization.

Nathan D. Ratliff, Marc Toussaint, Jeannette Bohg, Stefan Schaal

CoRR, 2016

Latest Datasets and Technologies Presented in the Workshop on Grasping and Manipulation Datasets.

Matteo Bianchi, Jeannette Bohg, Yu Sun

CoRR, 2016

Big Data on Robotics.

Jeannette Bohg, Matei T. Ciocarlie, Javier Civera, Lydia E. Kavraki

Big Data, 2016

Learning where to search using visual attention.

Alina Kloss, Daniel Kappler, Hendrik P. A. Lensch, Martin V. Butz, Stefan Schaal, Jeannette Bohg

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

Robot arm pose estimation by pixel-wise regression of joint angles.

Felix Widmaier, Daniel Kappler, Stefan Schaal, Jeannette Bohg

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

Automatic LQR tuning based on Gaussian process global optimization.

Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe

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

Optimizing for what matters: The top grasp hypothesis.

Daniel Kappler, Stefan Schaal, Jeannette Bohg

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

Depth-based object tracking using a Robust Gaussian Filter.

Jan Issac, Manuel Wüthrich, Cristina Garcia Cifuentes, Jeannette Bohg, Sebastian Trimpe, Stefan Schaal

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

Exemplar-based prediction of global object shape from local shape similarity.

Jeannette Bohg, Daniel Kappler, Stefan Schaal

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

Robust Gaussian filtering using a pseudo measurement.

Manuel Wuthrich, Cristina Garcia Cifuentes, Sebastian Trimpe, Franziska Meier, Jeannette Bohg, Jan Issac, Stefan Schaal

Proceedings of the 2016 American Control Conference, 2016

2015

Policy Learning with Hypothesis based Local Action Selection.

Bharath Sankaran, Jeannette Bohg, Nathan D. Ratliff, Stefan Schaal

CoRR, 2015

Direct Loss Minimization Inverse Optimal Control.

Andreas Doerr, Nathan D. Ratliff, Jeannette Bohg, Marc Toussaint, Stefan Schaal

Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

The Coordinate Particle Filter - a novel Particle Filter for high dimensional systems.

Manuel Wüthrich, Jeannette Bohg, Daniel Kappler, Claudia Pfreundt, Stefan Schaal

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

Leveraging big data for grasp planning.

Daniel Kappler, Jeannette Bohg, Stefan Schaal

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

2014

Data-Driven Grasp Synthesis - A Survey.

Jeannette Bohg, Antonio Morales, Tamim Asfour, Danica Kragic

IEEE Trans. Robotics, 2014

Three-dimensional object reconstruction of symmetric objects by fusing visual and tactile sensing.

Jarmo Ilonen, Jeannette Bohg, Ville Kyrki

Int. J. Robotics Res., 2014

Learning of grasp selection based on shape-templates.

Alexander Herzog, Peter Pastor, Mrinal Kalakrishnan, Ludovic Righetti, Jeannette Bohg, Tamim Asfour, Stefan Schaal

Auton. Robots, 2014

Dual execution of optimized contact interaction trajectories.

Marc Toussaint, Nathan D. Ratliff, Jeannette Bohg, Ludovic Righetti, Peter Englert, Stefan Schaal

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

Robot arm pose estimation through pixel-wise part classification.

Jeannette Bohg, Javier Romero, Alexander Herzog, Stefan Schaal

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

2013

AGILITY - Dynamic full body locomotion and manipulation with autonomous legged robots.

Marco Hutter, Michael Blösch, Jonas Buchli, Claudio Semini, Stéphane Bazeille, Ludovic Righetti, Jeannette Bohg

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2013

Probabilistic object tracking using a range camera.

Manuel Wuthrich, Peter Pastor, Mrinal Kalakrishnan, Jeannette Bohg, Stefan Schaal

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

Fusing visual and tactile sensing for 3-D object reconstruction while grasping.

Jarmo Ilonen, Jeannette Bohg, Ville Kyrki

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

2012

Task-Based Grasp Adaptation on a Humanoid Robot.

Jeannette Bohg, Kai Welke, Beatriz León, Martin Do, Dan Song, Walter Wohlkinger, Aitor Aldoma, Marianna Madry, Markus Przybylski, Tamim Asfour, Higinio Marti, Danica Kragic, Antonio Morales, Markus Vincze

Proceedings of the 10th IFAC Symposium on Robot Control, SyRoCo 2012, Dubrovnik, Croatia, 2012

Towards Multi-DOF model mediated teleoperation: Using vision to augment feedback.

Bert Willaert, Jeannette Bohg, Hendrik Van Brussel, Günter Niemeyer

Proceedings of the 2012 IEEE International Workshop on Haptic Audio Visual Environments and Games, 2012

2011

Multi-Modal Scene Understanding for Robotic Grasping.

Jeannette Bohg

PhD thesis, 2011

Enhanced visual scene understanding through human-robot dialog.

Matthew Johnson-Roberson, Jeannette Bohg, Gabriel Skantze, Joakim Gustafson, Rolf Carlson, Babak Rasolzadeh, Danica Kragic

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

Mind the gap - robotic grasping under incomplete observation.

Jeannette Bohg, Matthew Johnson-Roberson, Beatriz León, Javier Felip, Xavi Gratal, Niklas Bergström, Danica Kragic, Antonio Morales

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

2010

Learning grasping points with shape context.

Jeannette Bohg, Danica Kragic

Robotics Auton. Syst., 2010

OpenGRASP: A Toolkit for Robot Grasping Simulation.

Beatriz León, Stefan Ulbrich, Rosen Diankov, Gustavo Puche, Markus Przybylski, Antonio Morales, Tamim Asfour, Sami Moisio, Jeannette Bohg, James Kuffner

Proceedings of the Simulation, Modeling, and Programming for Autonomous Robots, 2010

Attention-based active 3D point cloud segmentation.

Matthew Johnson-Roberson, Jeannette Bohg, Mårten Björkman, Danica Kragic

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Strategies for multi-modal scene exploration.

Jeannette Bohg, Matthew Johnson-Roberson, Mårten Björkman, Danica Kragic

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Enhanced Visual Scene Understanding through Human-Robot Dialog.

Matthew Johnson-Roberson, Jeannette Bohg, Danica Kragic, Gabriel Skantze, Joakim Gustafson, Rolf Carlson

Proceedings of the Dialog with Robots, 2010

2009

Towards Grasp-Oriented Visual Perception for Humanoid Robots.

Jeannette Bohg, Carl Barck-Holst, Kai Huebner, Maria Ralph, Babak Rasolzadeh, Dan Song, Danica Kragic

Int. J. Humanoid Robotics, 2009

Integration of Visual Cues for Robotic Grasping.

Niklas Bergström, Jeannette Bohg, Danica Kragic

Proceedings of the Computer Vision Systems, 2009

Grasping familiar objects using shape context.

Jeannette Bohg, Danica Kragic

Proceedings of the 14th International Conference on Advanced Robotics, 2009