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2020 – today
- 2022
[j26]Dylan P. Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan
, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, Dorsa Sadigh:
Learning latent actions to control assistive robots. Auton. Robots 46(1): 115-147 (2022)- [j25]Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg:
Dynamic multi-robot task allocation under uncertainty and temporal constraints. Auton. Robots 46(1): 231-247 (2022) - [j24]Alina Kloss, Stefan Schaal, Jeannette Bohg:
Combining learned and analytical models for predicting action effects from sensory data. Int. J. Robotics Res. 41(8): 778-797 (2022) - [j23]Mike Salvato, Negin Heravi, Allison M. Okamura, Jeannette Bohg:
Predicting Hand-Object Interaction for Improved Haptic Feedback in Mixed Reality. IEEE Robotics Autom. Lett. 7(2): 3851-3857 (2022) - [j22]Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, Mac Schwager:
Vision-Only Robot Navigation in a Neural Radiance World. IEEE Robotics Autom. Lett. 7(2): 4606-4613 (2022) - [j21]Rika Antonova, Jingyun Yang, Priya Sundaresan, Dieter Fox, Fabio Ramos, Jeannette Bohg:
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation. IEEE Robotics Autom. Lett. 7(3): 5819-5826 (2022) - [c58]Ruohan Gao, Zilin Si, Yen-Yu Chang, Samuel Clarke, Jeannette Bohg, Li Fei-Fei, Wenzhen Yuan, Jiajun Wu:
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer. CVPR 2022: 10588-10598 - [c57]Toki Migimatsu, Wenzhao Lian, Jeannette Bohg, Stefan Schaal:
Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks. ICRA 2022: 1702-1709 - [c56]Toki Migimatsu, Jeannette Bohg:
Grounding Predicates through Actions. ICRA 2022: 3498-3504 - [c55]Jingyun Yang, Junwu Zhang, Connor Settle, Akshara Rai, Rika Antonova, Jeannette Bohg:
Learning Periodic Tasks from Human Demonstrations. ICRA 2022: 8658-8665 - [c54]Nick Heppert, Toki Migimatsu, Brent Yi, Claire Chen, Jeannette Bohg:
Category-Independent Articulated Object Tracking with Factor Graphs. IROS 2022: 3800-3807 - [c53]Michael A. Lin, Emilio Reyes, Jeannette Bohg, Mark R. Cutkosky:
Whisker-Inspired Tactile Sensing for Contact Localization on Robot Manipulators. IROS 2022: 7817-7824 - [c52]Priya Sundaresan, Rika Antonova, Jeannette Bohg:
DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects. IROS 2022: 10828-10835 - [e1]Roya Firoozi, Negar Mehr, Esen Yel, Rika Antonova, Jeannette Bohg, Mac Schwager, Mykel J. Kochenderfer:
Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA. Proceedings of Machine Learning Research 168, PMLR 2022 [contents] - [i69]Toki Migimatsu, Wenzhao Lian, Jeannette Bohg, Stefan Schaal:
Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks. CoRR abs/2203.02468 (2022) - [i68]Ruohan Gao, Zilin Si, Yen-Yu Chang, Samuel Clarke, Jeannette Bohg, Li Fei-Fei, Wenzhen Yuan, Jiajun Wu:
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer. CoRR abs/2204.02389 (2022) - [i67]Priya Sundaresan, Rika Antonova, Jeannette Bohg:
DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects. CoRR abs/2204.03139 (2022) - [i66]Nick Heppert, Toki Migimatsu, Brent Yi, Claire Chen, Jeannette Bohg:
Category-Independent Articulated Object Tracking with Factor Graphs. CoRR abs/2205.03721 (2022) - [i65]Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi:
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations. CoRR abs/2205.06333 (2022) - [i64]Rika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula, Jeannette Bohg:
Rethinking Optimization with Differentiable Simulation from a Global Perspective. CoRR abs/2207.00167 (2022) - [i63]Rhys Newbury, Morris Gu, Lachlan Chumbley, Arsalan Mousavian, Clemens Eppner, Jürgen Leitner, Jeannette Bohg, Antonio Morales, Tamim Asfour, Danica Kragic, Dieter Fox, Akansel Cosgun:
Deep Learning Approaches to Grasp Synthesis: A Review. CoRR abs/2207.02556 (2022) - [i62]JunYoung Gwak, Silvio Savarese, Jeannette Bohg:
Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking. CoRR abs/2208.10056 (2022) - [i61]Christopher Agia, Toki Migimatsu, Jiajun Wu, Jeannette Bohg:
TAPS: Task-Agnostic Policy Sequencing. CoRR abs/2210.12250 (2022) - [i60]Michael A. Lin, Emilio Reyes, Jeannette Bohg, Mark R. Cutkosky:
Whisker-Inspired Tactile Sensing for Contact Localization on Robot Manipulators. CoRR abs/2210.12387 (2022) - [i59]Chaoyi Pan, Marion Lepert, Shenli Yuan, Rika Antonova, Jeannette Bohg:
Task-Driven In-Hand Manipulation of Unknown Objects with Tactile Sensing. CoRR abs/2210.13403 (2022) - [i58]Mengxi Li, Rika Antonova, Dorsa Sadigh, Jeannette Bohg:
Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation. CoRR abs/2211.02201 (2022) - [i57]Tara Sadjadpour, Jie Li, Rares Ambrus, Jeannette Bohg:
ShaSTA: Modeling Shape and 0031Spatio-Temporal Affinities for 3D Multi-Object Tracking. CoRR abs/2211.03919 (2022) - [i56]Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg:
Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks. CoRR abs/2211.06134 (2022) - [i55]Negin Heravi, Heather Culbertson, Allison M. Okamura, Jeannette Bohg:
Development and Evaluation of a Learning-based Model for Real-time Haptic Texture Rendering. CoRR abs/2212.13332 (2022) - 2021
- [j20]Alina Kloss, Georg Martius, Jeannette Bohg:
How to train your differentiable filter. Auton. Robots 45(4): 561-578 (2021) - [j19]Lin Shao, Toki Migimatsu, Qiang Zhang, Karen Yang, Jeannette Bohg:
Concept2Robot: Learning manipulation concepts from instructions and human demonstrations. Int. J. Robotics Res. 40(12-14): 1419-1434 (2021) - [j18]Matteo Bianchi, Jeannette Bohg, Hyungpil Moon, Robert Platt, Rich Walker:
Robotic Hands, Grasping, And Manipulation [TC Spotlight]. IEEE Robotics Autom. Mag. 28(2): 131-133 (2021) - [c51]Lin Shao, Yifan You, Mengyuan Yan, Shenli Yuan, Qingyun Sun, Jeannette Bohg:
GRAC: Self-Guided and Self-Regularized Actor-Critic. CoRL 2021: 267-276 - [c50]Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi:
XIRL: Cross-embodiment Inverse Reinforcement Learning. CoRL 2021: 537-546 - [c49]Samuel Clarke, Negin Heravi, Mark Rau, Ruohan Gao, Jiajun Wu, Doug James, Jeannette Bohg:
DiffImpact: Differentiable Rendering and Identification of Impact Sounds. CoRL 2021: 662-673 - [c48]Rika Antonova, Jeannette Bohg:
Learning to be Multimodal : Co-evolving Sensory Modalities and Sensor Properties. CoRL 2021: 1782-1788 - [c47]Michelle A. Lee, Matthew Tan, Yuke Zhu, Jeannette Bohg:
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors. ICRA 2021: 909-916 - [c46]Peter A. Zachares, Michelle A. Lee, Wenzhao Lian, Jeannette Bohg:
Interpreting Contact Interactions to Overcome Failure in Robot Assembly Tasks. ICRA 2021: 3410-3417 - [c45]Yifan You, Lin Shao, Toki Migimatsu, Jeannette Bohg:
OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation. ICRA 2021: 5921-5927 - [c44]Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg:
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. ICRA 2021: 14227-14233 - [c43]Brent Yi, Michelle A. Lee, Alina Kloss, Roberto Martín-Martín, Jeannette Bohg:
Differentiable Factor Graph Optimization for Learning Smoothers. IROS 2021: 1339-1345 - [c42]Claire Chen, Preston Culbertson, Marion Lepert, Mac Schwager, Jeannette Bohg:
TrajectoTree: Trajectory Optimization Meets Tree Search for Planning Multi-contact Dexterous Manipulation. IROS 2021: 8262-8268 - [i54]Peter A. Zachares, Michelle A. Lee, Wenzhao Lian, Jeannette Bohg:
Interpreting Contact Interactions to Overcome Failure in Robot Assembly Tasks. CoRR abs/2101.02725 (2021) - [i53]Yifan You, Lin Shao, Toki Migimatsu, Jeannette Bohg:
OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation. CoRR abs/2103.14283 (2021) - [i52]Brent Yi, Michelle A. Lee, Alina Kloss, Roberto Martín-Martín, Jeannette Bohg:
Differentiable Factor Graph Optimization for Learning Smoothers. CoRR abs/2105.08257 (2021) - [i51]Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi:
XIRL: Cross-embodiment Inverse Reinforcement Learning. CoRR abs/2106.03911 (2021) - [i50]Dylan P. Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, Dorsa Sadigh:
Learning Latent Actions to Control Assistive Robots. CoRR abs/2107.02907 (2021) - [i49]Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ 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.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - [i48]Jingyun Yang, Junwu Zhang, Connor Settle, Akshara Rai, Rika Antonova, Jeannette Bohg:
Learning Periodic Tasks from Human Demonstrations. CoRR abs/2109.14078 (2021) - [i47]Claire Chen, Preston Culbertson, Marion Lepert, Mac Schwager, Jeannette Bohg:
TrajectoTree: Trajectory Optimization Meets Tree Search for Planning Multi-contact Dexterous Manipulation. CoRR abs/2109.14088 (2021) - [i46]Toki Migimatsu, Jeannette Bohg:
Grounding Predicates through Actions. CoRR abs/2109.14718 (2021) - [i45]Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, Mac Schwager:
Vision-Only Robot Navigation in a Neural Radiance World. CoRR abs/2110.00168 (2021) - [i44]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:
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR abs/2110.15245 (2021) - [i43]Rika Antonova, Jingyun Yang, Priya Sundaresan, Dieter Fox, Fabio Ramos, Jeannette Bohg:
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation. CoRR abs/2112.05068 (2021) - 2020
- [j17]Toki Migimatsu, Jeannette Bohg:
Object-Centric Task and Motion Planning in Dynamic Environments. IEEE Robotics Autom. Lett. 5(2): 844-851 (2020) - [j16]Lin Shao, Fábio Ferreira, Mikael Jorda, Varun Nambiar, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Oussama Khatib, Jeannette Bohg:
UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands. IEEE Robotics Autom. Lett. 5(2): 2286-2293 (2020) - [j15]Mengyuan Yan, Yilin Zhu, Ning Jin, Jeannette Bohg:
Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects. IEEE Robotics Autom. Lett. 5(2): 2372-2379 (2020) - [j14]Mia Kokic, Danica Kragic, Jeannette Bohg:
Learning Task-Oriented Grasping From Human Activity Datasets. IEEE Robotics Autom. Lett. 5(2): 3352-3359 (2020) - [j13]Michelle A. Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks. IEEE Trans. Robotics 36(3): 582-596 (2020) - [c41]Lin Shao, Toki Migimatsu, Jeannette Bohg:
Learning to Scaffold the Development of Robotic Manipulation Skills. ICRA 2020: 5671-5677 - [c40]Alina Kloss, Maria Bauzá, Jiajun Wu, Joshua B. Tenenbaum, Alberto Rodriguez, Jeannette Bohg:
Accurate Vision-based Manipulation through Contact Reasoning. ICRA 2020: 6738-6744 - [c39]Tingguang Li, Krishnan Srinivasan, Max Qing-Hu Meng, Wenzhen Yuan, Jeannette Bohg:
Learning Hierarchical Control for Robust In-Hand Manipulation. ICRA 2020: 8855-8862 - [c38]Negin Heravi, Wenzhen Yuan, Allison M. Okamura, Jeannette Bohg:
Learning an Action-Conditional Model for Haptic Texture Generation. ICRA 2020: 11088-11095 - [c37]Mengyuan Yan, Gen Li, Yilin Zhu, Jeannette Bohg:
Learning Topological Motion Primitives for Knot Planning. IROS 2020: 9457-9464 - [c36]Michelle A. Lee, Brent Yi, Roberto Martín-Martín, Silvio Savarese, Jeannette Bohg:
Multimodal Sensor Fusion with Differentiable Filters. IROS 2020: 10444-10451 - [c35]Mengxi Li, Dylan P. Losey, Jeannette Bohg, Dorsa Sadigh:
Learning User-Preferred Mappings for Intuitive Robot Control. IROS 2020: 10960-10967 - [c34]Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg:
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints. Robotics: Science and Systems 2020 - [c33]Lin Shao, Toki Migimatsu, Qiang Zhang, Kaiyuan Yang, Jeannette Bohg:
Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations. Robotics: Science and Systems 2020 - [i42]Hsu-Kuang Chiu, Antonio Prioletti, Jie Li, Jeannette Bohg:
Probabilistic 3D Multi-Object Tracking for Autonomous Driving. CoRR abs/2001.05673 (2020) - [i41]Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg:
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints. CoRR abs/2005.13109 (2020) - [i40]Mengxi Li, Dylan P. Losey, Jeannette Bohg, Dorsa Sadigh:
Learning User-Preferred Mappings for Intuitive Robot Control. CoRR abs/2007.11627 (2020) - [i39]Mengyuan Yan, Gen Li, Yilin Zhu, Jeannette Bohg:
Learning Topological Motion Primitives for Knot Planning. CoRR abs/2009.02615 (2020) - [i38]Lin Shao, Yifan You, Mengyuan Yan, Qingyun Sun, Jeannette Bohg:
GRAC: Self-Guided and Self-Regularized Actor-Critic. CoRR abs/2009.08973 (2020) - [i37]Michelle A. Lee, Brent Yi, Roberto Martín-Martín, Silvio Savarese, Jeannette Bohg:
Multimodal Sensor Fusion with Differentiable Filters. CoRR abs/2010.13021 (2020) - [i36]Michelle A. Lee, Matthew Tan, Yuke Zhu, Jeannette Bohg:
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors. CoRR abs/2012.00201 (2020) - [i35]Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg:
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. CoRR abs/2012.13755 (2020) - [i34]Alina Kloss, Georg Martius, Jeannette Bohg:
How to Train Your Differentiable Filter. CoRR abs/2012.14313 (2020)
2010 – 2019
- 2019
- [j12]Carlos Rubert, Daniel Kappler, Jeannette Bohg, Antonio Morales:
Predicting grasp success in the real world - A study of quality metrics and human assessment. Robotics Auton. Syst. 121 (2019) - [c32]Dylan P. Losey, Mengxi Li, Jeannette Bohg, Dorsa Sadigh:
Learning from My Partner's Actions: Roles in Decentralized Robot Teams. CoRL 2019: 752-765 - [c31]Xingyu Liu, Mengyuan Yan, Jeannette Bohg:
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences. ICCV 2019: 9245-9254 - [c30]Hamza Merzic, Miroslav Bogdanovic, Daniel Kappler, Ludovic Righetti, Jeannette Bohg:
Leveraging Contact Forces for Learning to Grasp. ICRA 2019: 3615-3621 - [c29]Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks. ICRA 2019: 8943-8950 - [c28]Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner, Silvio Savarese, Jeannette Bohg, Animesh Garg:
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks. IROS 2019: 1010-1017 - [c27]Mia Kokic, Danica Kragic, Jeannette Bohg:
Learning to Estimate Pose and Shape of Hand-Held Objects from RGB Images. IROS 2019: 3980-3987 - [i33]Mia Kokic, Danica Kragic, Jeannette Bohg:
Learning to Estimate Pose and Shape of Hand-Held Objects from RGB Images. CoRR abs/1903.03340 (2019) - [i32]Wenbin Li, Ales Leonardis, Jeannette Bohg, Mario Fritz:
Learning Manipulation under Physics Constraints with Visual Perception. CoRR abs/1904.09860 (2019) - [i31]Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner, Silvio Savarese, Jeannette Bohg, Animesh Garg:
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks. CoRR abs/1906.08880 (2019) - [i30]Michelle A. Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks. CoRR abs/1907.13098 (2019) - [i29]Fábio Ferreira, Lin Shao, Tamim Asfour, Jeannette Bohg:
Learning Visual Dynamics Models of Rigid Objects using Relational Inductive Biases. CoRR abs/1909.03749 (2019) - [i28]Negin Heravi, Wenzhen Yuan, Allison M. Okamura, Jeannette Bohg:
Learning an Action-Conditional Model for Haptic Texture Generation. CoRR abs/1909.13025 (2019) - [i27]Dylan P. Losey, Mengxi Li, Jeannette Bohg, Dorsa Sadigh:
Learning from My Partner's Actions: Roles in Decentralized Robot Teams. CoRR abs/1910.07613 (2019) - [i26]Xingyu Liu, Mengyuan Yan, Jeannette Bohg:
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences. CoRR abs/1910.09165 (2019) - [i25]Lin Shao, Fábio Ferreira, Mikael Jorda, Varun Nambiar, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Oussama Khatib, Jeannette Bohg:
UniGrasp: Learning a Unified Model to Grasp with N-Fingered Robotic Hands. CoRR abs/1910.10900 (2019) - [i24]Tingguang Li, Krishnan Srinivasan, Max Qing-Hu Meng, Wenzhen Yuan, Jeannette Bohg:
Learning Hierarchical Control for Robust In-Hand Manipulation. CoRR abs/1910.10985 (2019) - [i23]Mia Kokic, Danica Kragic, Jeannette Bohg:
Learning Task-Oriented Grasping from Human Activity Datasets. CoRR abs/1910.11669 (2019) - [i22]Lin Shao, Toki Migimatsu, Jeannette Bohg:
Learning to Scaffold the Development of Robotic Manipulation Skills. CoRR abs/1911.00969 (2019) - [i21]Alina Kloss, Maria Bauzá, Jiajun Wu, Joshua B. Tenenbaum, Alberto Rodriguez, Jeannette Bohg:
Accurate Vision-based Manipulation through Contact Reasoning. CoRR abs/1911.03112 (2019) - [i20]Toki Migimatsu, Jeannette Bohg:
Object-Centric Task and Motion Planning in Dynamic Environments. CoRR abs/1911.04679 (2019) - [i19]Mengyuan Yan, Yilin Zhu, Ning Jin, Jeannette Bohg:
Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects. CoRR abs/1911.06283 (2019) - 2018
- [j11]Daniel Kappler, Franziska Meier, Jan Issac, Jim Mainprice, Cristina Garcia Cifuentes, Manuel Wuthrich, Vincent Berenz, Stefan Schaal, Nathan D. Ratliff, Jeannette Bohg:
Real-Time Perception Meets Reactive Motion Generation. IEEE Robotics Autom. Lett. 3(3): 1864-1871 (2018) - [j10]Lin Shao, Parth Shah, Vikranth Dwaracherla, Jeannette Bohg:
Motion-Based Object Segmentation Based on Dense RGB-D Scene Flow. IEEE Robotics Autom. Lett. 3(4): 3797-3804 (2018) - [i18]Lin Shao, Parth Shah, Vikranth Dwaracherla, Jeannette Bohg:
Motion-based Object Segmentation based on Dense RGB-D Scene Flow. CoRR abs/1804.05195 (2018) - [i17]Lin Shao, Ye Tian, Jeannette Bohg:
ClusterNet: Instance Segmentation in RGB-D Images. CoRR abs/1807.08894 (2018) - [i16]Carlos Rubert, Daniel Kappler, Jeannette Bohg, Antonio Morales:
Grasp success prediction with quality metrics. CoRR abs/1809.03276 (2018) - [i15]Hamza Merzic, Miroslav Bogdanovic, Daniel Kappler, Ludovic Righetti, Jeannette Bohg:
Leveraging Contact Forces for Learning to Grasp. CoRR abs/1809.07004 (2018) - [i14]Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks. CoRR abs/1810.10191 (2018) - 2017
- [j9]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:
Reports on the 2017 AAAI Spring Symposium Series. AI Mag. 38(4): 99-106 (2017) - [j8]Cristina Garcia Cifuentes, Jan Issac, Manuel Wüthrich, Stefan Schaal, Jeannette Bohg:
Probabilistic Articulated Real-Time Tracking for Robot Manipulation. IEEE Robotics Autom. Lett. 2(2): 577-584 (2017) - [j7]Jeannette Bohg, Karol Hausman, Bharath Sankaran, Oliver Brock, Danica Kragic, Stefan Schaal, Gaurav S. Sukhatme:
Interactive Perception: Leveraging Action in Perception and Perception in Action. IEEE Trans. Robotics 33(6): 1273-1291 (2017) - [c26]Carlos Rubert, Daniel Kappler, Antonio Morales, Stefan Schaal, Jeannette Bohg:
On the relevance of grasp metrics for predicting grasp success. IROS 2017: 265-272 - [i13]Daniel Kappler, Franziska Meier, Jan Issac, Jim Mainprice, Cristina Garcia Cifuentes, Manuel Wüthrich, Vincent Berenz, Stefan Schaal, Nathan D. Ratliff, Jeannette Bohg:
Real-time Perception meets Reactive Motion Generation. CoRR abs/1703.03512 (2017) - [i12]Alina Kloss, Stefan Schaal, Jeannette Bohg:
Combining learned and analytical models for predicting action effects. CoRR abs/1710.04102 (2017) - [i11]Wenbin Li, Jeannette Bohg, Mario Fritz:
Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning. CoRR abs/1711.00267 (2017) - 2016
- [j6]