Jeannette Bohg
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
77
Venues
8
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
77 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | What's the Move? Hybrid Imitation Learning via Salient Points. | Priya Sundaresan, Hengyuan Hu, Quan Vuong, Jeannette Bohg, Dorsa Sadigh |
| 2025 | ICML | Causal-PIK: Causality-based Physical Reasoning with a Physics-Informed Kernel. | Carlota Pars-Morlans, Michelle Yi, Claire Chen, Sarah A. Wu, Rika Antonova, Tobias Gerstenberg, Jeannette Bohg |
| 2025 | ICRA | Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics. | Yixuan Huang, Christopher Agia, Jimmy Wu, Tucker Hermans, Jeannette Bohg |
| 2025 | ICRA | Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning. | Juntao Ren, Priya Sundaresan, Dorsa Sadigh, Sanjiban Choudhury, Jeannette Bohg |
| 2025 | IROS | ACGD: Visual Multitask Policy Learning with Asymmetric Critic Guided Distillation. | Krishnan Srinivasan, Jie Xu, Henry Ang, Eric Heiden, Dieter Fox, Jeannette Bohg, Animesh Garg |
| 2024 | CoRL | Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress. | Christopher Agia, Rohan Sinha, Jingyun Yang, Ziang Cao, Rika Antonova, Marco Pavone, Jeannette Bohg |
| 2024 | CoRL | SHADOW: Leveraging Segmentation Masks for Cross-Embodiment Policy Transfer. | Marion Lepert, Ria Doshi, Jeannette Bohg |
| 2024 | CoRL | Get a Grip: Multi-Finger Grasp Evaluation at Scale Enables Robust Sim-to-Real Transfer. | Tyler Ga Wei Lum, Albert H. Li, Preston Culbertson, Krishnan Srinivasan, Aaron D. Ames, Mac Schwager, Jeannette Bohg |
| 2024 | CoRL | 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 |
| 2024 | CoRL | APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs. | Huaxiaoyue Wang, Nathaniel Chin, Gonzalo Gonzalez-Pumariega, Xiangwan Sun, Neha Sunkara, Maximus Adrian Pace, Jeannette Bohg, Sanjiban Choudhury |
| 2024 | CoRL | Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping. | Qianxu Wang, Congyue Deng, Tyler Ga Wei Lum, Yuanpei Chen, Yaodong Yang, Jeannette Bohg, Yixin Zhu, Leonidas J. Guibas |
| 2024 | CoRL | TidyBot++: An Open-Source Holonomic Mobile Manipulator for Robot Learning. | Jimmy Wu, William Chong, Robert Holmberg, Aaditya Prasad, Yihuai Gao, Oussama Khatib, Shuran Song, Szymon Rusinkiewicz, Jeannette Bohg |
| 2024 | CoRL | EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning. | Jingyun Yang, Ziang Cao, Congyue Deng, Rika Antonova, Shuran Song, Jeannette Bohg |
| 2024 | ICRA | 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 |
| 2024 | ICRA | Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. | Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schlkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Bchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, Joo Silvrio, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Snderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martn-Martn, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin |
| 2024 | IROS | AO-Grasp: Articulated Object Grasp Generation. | Carlota Pars-Morlans, Claire Chen, Yijia Weng, Michelle Yi, Yuying Huang, Nick Heppert, Linqi Zhou, Leonidas J. Guibas, Jeannette Bohg |
| 2024 | ICRA | COAST: COnstraints And STreams for Task and Motion Planning. | Brandon Vu, Toki Migimatsu, Jeannette Bohg |
| 2024 | ICRA | EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation. | Jingyun Yang, Congyue Deng, Jimmy Wu, Rika Antonova, Leonidas J. Guibas, Jeannette Bohg |
| 2024 | ICRA | 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 |
| 2023 | CoRL | KITE: Keypoint-Conditioned Policies for Semantic Manipulation. | Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh, Jeannette Bohg |
| 2023 | CVPR | 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 |
| 2023 | CVPR | 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 |
| 2023 | ICRA | STAP: Sequencing Task-Agnostic Policies. | Christopher Agia, Toki Migimatsu, Jiajun Wu, Jeannette Bohg |
| 2023 | ICRA | 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 |
| 2023 | ICRA | Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation. | Mengxi Li, Rika Antonova, Dorsa Sadigh, Jeannette Bohg |
| 2023 | IROS | 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 |
| 2023 | IROS | In-Hand Manipulation of Unknown Objects with Tactile Sensing for Insertion. | Chaoyi Pan, Marion Lepert, Shenli Yuan, Rika Antonova, Jeannette Bohg |
| 2023 | IROS | 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 |
| 2022 | CoRL | Rethinking Optimization with Differentiable Simulation from a Global Perspective. | Rika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula, Jeannette Bohg |
| 2022 | CVPR | 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 |
| 2022 | ICRA | Grounding Predicates through Actions. | Toki Migimatsu, Jeannette Bohg |
| 2022 | ICRA | Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks. | Toki Migimatsu, Wenzhao Lian, Jeannette Bohg, Stefan Schaal |
| 2022 | IROS | Category-Independent Articulated Object Tracking with Factor Graphs. | Nick Heppert, Toki Migimatsu, Brent Yi, Claire Chen, Jeannette Bohg |
| 2022 | IROS | Whisker-Inspired Tactile Sensing for Contact Localization on Robot Manipulators. | Michael A. Lin, Emilio Reyes, Jeannette Bohg, Mark R. Cutkosky |
| 2022 | IROS | DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects. | Priya Sundaresan, Rika Antonova, Jeannette Bohg |
| 2022 | ICRA | Learning Periodic Tasks from Human Demonstrations. | Jingyun Yang, Junwu Zhang, Connor Settle, Akshara Rai, Rika Antonova, Jeannette Bohg |
| 2021 | CoRL | Learning to be Multimodal : Co-evolving Sensory Modalities and Sensor Properties. | Rika Antonova, Jeannette Bohg |
| 2021 | CoRL | DiffImpact: Differentiable Rendering and Identification of Impact Sounds. | Samuel Clarke, Negin Heravi, Mark Rau, Ruohan Gao, Jiajun Wu, Doug L. James, Jeannette Bohg |
| 2021 | CoRL | GRAC: Self-Guided and Self-Regularized Actor-Critic. | Lin Shao, Yifan You, Mengyuan Yan, Shenli Yuan, Qingyun Sun, Jeannette Bohg |
| 2021 | CoRL | XIRL: Cross-embodiment Inverse Reinforcement Learning. | Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi |
| 2021 | ICRA | Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. | Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg |
| 2021 | ICRA | Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors. | Michelle A. Lee, Matthew Tan, Yuke Zhu, Jeannette Bohg |
| 2021 | IROS | TrajectoTree: Trajectory Optimization Meets Tree Search for Planning Multi-contact Dexterous Manipulation. | Claire Chen, Preston Culbertson, Marion Lepert, Mac Schwager, Jeannette Bohg |
| 2021 | IROS | Differentiable Factor Graph Optimization for Learning Smoothers. | Brent Yi, Michelle A. Lee, Alina Kloss, Roberto Martn-Martn, Jeannette Bohg |
| 2021 | ICRA | OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation. | Yifan You, Lin Shao, Toki Migimatsu, Jeannette Bohg |
| 2021 | ICRA | Interpreting Contact Interactions to Overcome Failure in Robot Assembly Tasks. | Peter A. Zachares, Michelle A. Lee, Wenzhao Lian, Jeannette Bohg |
| 2020 | ICRA | Learning an Action-Conditional Model for Haptic Texture Generation. | Negin Heravi, Wenzhen Yuan, Allison M. Okamura, Jeannette Bohg |
| 2020 | ICRA | Accurate Vision-based Manipulation through Contact Reasoning. | Alina Kloss, Maria Bauz, Jiajun Wu, Joshua B. Tenenbaum, Alberto Rodriguez, Jeannette Bohg |
| 2020 | ICRA | Learning Hierarchical Control for Robust In-Hand Manipulation. | Tingguang Li, Krishnan Srinivasan, Max Qing-Hu Meng, Wenzhen Yuan, Jeannette Bohg |
| 2020 | IROS | Multimodal Sensor Fusion with Differentiable Filters. | Michelle A. Lee, Brent Yi, Roberto Martn-Martn, Silvio Savarese, Jeannette Bohg |
| 2020 | IROS | Learning User-Preferred Mappings for Intuitive Robot Control. | Mengxi Li, Dylan P. Losey, Jeannette Bohg, Dorsa Sadigh |
| 2020 | IROS | Learning Topological Motion Primitives for Knot Planning. | Mengyuan Yan, Gen Li, Yilin Zhu, Jeannette Bohg |
| 2020 | ICRA | Learning to Scaffold the Development of Robotic Manipulation Skills. | Lin Shao, Toki Migimatsu, Jeannette Bohg |
| 2019 | CoRL | Learning from My Partner's Actions: Roles in Decentralized Robot Teams. | Dylan P. Losey, Mengxi Li, Jeannette Bohg, Dorsa Sadigh |
| 2019 | ICCV | MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences. | Xingyu Liu, Mengyuan Yan, Jeannette Bohg |
| 2019 | ICRA | 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 |
| 2019 | ICRA | Leveraging Contact Forces for Learning to Grasp. | Hamza Merzic, Miroslav Bogdanovic, Daniel Kappler, Ludovic Righetti, Jeannette Bohg |
| 2019 | IROS | Learning to Estimate Pose and Shape of Hand-Held Objects from RGB Images. | Mia Kokic, Danica Kragic, Jeannette Bohg |
| 2019 | IROS | Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks. | Roberto Martn-Martn, Michelle A. Lee, Rachel Gardner, Silvio Savarese, Jeannette Bohg, Animesh Garg |
| 2017 | IROS | On the relevance of grasp metrics for predicting grasp success. | Carlos Rubert, Daniel Kappler, Antonio Morales, Stefan Schaal, Jeannette Bohg |
| 2016 | ICRA | Exemplar-based prediction of global object shape from local shape similarity. | Jeannette Bohg, Daniel Kappler, Stefan Schaal |
| 2016 | ICRA | Depth-based object tracking using a Robust Gaussian Filter. | Jan Issac, Manuel Wthrich, Cristina Garcia Cifuentes, Jeannette Bohg, Sebastian Trimpe, Stefan Schaal |
| 2016 | ICRA | Optimizing for what matters: The top grasp hypothesis. | Daniel Kappler, Stefan Schaal, Jeannette Bohg |
| 2016 | ICRA | Automatic LQR tuning based on Gaussian process global optimization. | Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe |
| 2016 | IROS | Learning where to search using visual attention. | Alina Kloss, Daniel Kappler, Hendrik P. A. Lensch, Martin V. Butz, Stefan Schaal, Jeannette Bohg |
| 2016 | ICRA | Robot arm pose estimation by pixel-wise regression of joint angles. | Felix Widmaier, Daniel Kappler, Stefan Schaal, Jeannette Bohg |
| 2015 | ICRA | Leveraging big data for grasp planning. | Daniel Kappler, Jeannette Bohg, Stefan Schaal |
| 2015 | ICRA | The Coordinate Particle Filter - a novel Particle Filter for high dimensional systems. | Manuel Wthrich, Jeannette Bohg, Daniel Kappler, Claudia Pfreundt, Stefan Schaal |
| 2014 | ICRA | Robot arm pose estimation through pixel-wise part classification. | Jeannette Bohg, Javier Romero, Alexander Herzog, Stefan Schaal |
| 2014 | IROS | Dual execution of optimized contact interaction trajectories. | Marc Toussaint, Nathan D. Ratliff, Jeannette Bohg, Ludovic Righetti, Peter Englert, Stefan Schaal |
| 2013 | ICRA | Fusing visual and tactile sensing for 3-D object reconstruction while grasping. | Jarmo Ilonen, Jeannette Bohg, Ville Kyrki |
| 2013 | IROS | Probabilistic object tracking using a range camera. | Manuel Wuthrich, Peter Pastor, Mrinal Kalakrishnan, Jeannette Bohg, Stefan Schaal |
| 2011 | ICRA | Mind the gap - robotic grasping under incomplete observation. | Jeannette Bohg, Matthew Johnson-Roberson, Beatriz Len, Javier Felip, Xavi Gratal, Niklas Bergstrm, Danica Kragic, Antonio Morales |
| 2011 | IROS | Enhanced visual scene understanding through human-robot dialog. | Matthew Johnson-Roberson, Jeannette Bohg, Gabriel Skantze, Joakim Gustafson, Rolf Carlson, Babak Rasolzadeh, Danica Kragic |
| 2010 | IROS | Strategies for multi-modal scene exploration. | Jeannette Bohg, Matthew Johnson-Roberson, Mrten Bjrkman, Danica Kragic |
| 2010 | IROS | Attention-based active 3D point cloud segmentation. | Matthew Johnson-Roberson, Jeannette Bohg, Mrten Bjrkman, Danica Kragic |
| 2009 | ICVS | Integration of Visual Cues for Robotic Grasping. | Niklas Bergstrm, Jeannette Bohg, Danica Kragic |