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ORCIDJeannette Bohg
Person information
- affiliation: Stanford University, Department of Computer Science, Stanford, CA, USA
- affiliation: Max Planck Institute for Intelligent Systems, Stuttgart, Germany
- affiliation (PhD 2012): KTH Royal Institute of Technology, Division of Robotics, Perception and Learning, Stockholm, Sweden
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2020 – today
- 2024
[j31]Tara Sadjadpour
, Jie Li, Rares Ambrus, Jeannette Bohg:
ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking. IEEE Robotics Autom. Lett. 9(5): 4273-4280 (2024)- [j30]Shenli Yuan, Lin Shao, Yunhai Feng, Jiatong Sun, Teng Xue, Connor L. Yako, Jeannette Bohg, J. Kenneth Salisbury:
Design and Control of Roller Grasper V3 for In-Hand Manipulation. IEEE Trans. Robotics 40: 4222-4234 (2024) - [c73]Jingyun Yang, Max Sobol Mark, Brandon Vu, Archit Sharma, Jeannette Bohg, Chelsea Finn:
Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning. ICRA 2024: 4804-4811 - [c72]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 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 Schölkopf, 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 Büchler, 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 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, João Silvério, 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 Sünderhauf, 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 Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, 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:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c71]Dane Brouwer, Joshua Citron, Hojung Choi, Marion Lepert, Michael A. Lin, Jeannette Bohg, Mark R. Cutkosky:
Tactile-Informed Action Primitives Mitigate Jamming in Dense Clutter. ICRA 2024: 7991-7997 - [c70]Jingyun Yang, Congyue Deng, Jimmy Wu, Rika Antonova, Leonidas J. Guibas, Jeannette Bohg:
EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation. ICRA 2024: 9249-9255 - [c69]Brandon Vu, Toki Migimatsu, Jeannette Bohg:
COAST: COnstraints And STreams for Task and Motion Planning. ICRA 2024: 14875-14881 - [i89]Dane Brouwer, Joshua Citron, Hojung Choi, Marion Lepert, Michael A. Lin, Jeannette Bohg, Mark R. Cutkosky:
Tactile-Informed Action Primitives Mitigate Jamming in Dense Clutter. CoRR abs/2402.09564 (2024) - [i88]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:
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches. CoRR abs/2403.02709 (2024) - [i87]Sirui Chen, Jeannette Bohg, C. Karen Liu:
SpringGrasp: Synthesizing Compliant, Dexterous Grasps under Shape Uncertainty. CoRR abs/2404.13532 (2024) - [i86]Aaditya Prasad, Kevin Lin, Jimmy Wu, Linqi Zhou, Jeannette Bohg:
Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation. CoRR abs/2405.07503 (2024) - [i85]Brandon Vu, Toki Migimatsu, Jeannette Bohg:
COAST: Constraints and Streams for Task and Motion Planning. CoRR abs/2405.08572 (2024) - [i84]Jingyun Yang, Zi-ang Cao, Congyue Deng, Rika Antonova, Shuran Song, Jeannette Bohg:
EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning. CoRR abs/2407.01479 (2024) - [i83]Yixuan Huang, Christopher Agia, Jimmy Wu, Tucker Hermans, Jeannette Bohg:
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics. CoRR abs/2408.14769 (2024) - [i82]Christopher Agia, Rohan Sinha, Jingyun Yang, Zi-ang Cao, Rika Antonova, Marco Pavone, Jeannette Bohg:
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress. CoRR abs/2410.04640 (2024) - [i81]Huaxiaoyue Wang, Nathaniel Chin, Gonzalo Gonzalez-Pumariega, Xiangwan Sun, Neha Sunkara, Maximus Adrian Pace, Jeannette Bohg, Sanjiban Choudhury:
APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs. CoRR abs/2410.19656 (2024) - [i80]Qianxu Wang, Congyue Deng, Tyler Ga Wei Lum, Yuanpei Chen, Yaodong Yang, Jeannette Bohg, Yixin Zhu, Leonidas J. Guibas:
Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping. CoRR abs/2410.23039 (2024) - [i79]Tyler Ga Wei Lum, Albert H. Li, Preston Culbertson, Krishnan Srinivasan, Aaron D. Ames, Mac Schwager, Jeannette Bohg:
Get a Grip: Multi-Finger Grasp Evaluation at Scale Enables Robust Sim-to-Real Transfer. CoRR abs/2410.23701 (2024) - 2023
- [j29]Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz, Thomas A. Funkhouser:
TidyBot: personalized robot assistance with large language models. Auton. Robots 47(8): 1087-1102 (2023) - [j28]Kevin Lin, Christopher Agia, Toki Migimatsu, Marco Pavone, Jeannette Bohg:
Text2Motion: from natural language instructions to feasible plans. Auton. Robots 47(8): 1345-1365 (2023) - [j27]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. IEEE Trans. Robotics 39(5): 3994-4015 (2023) - [c68]Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh, Jeannette Bohg:
KITE: Keypoint-Conditioned Policies for Semantic Manipulation. CoRL 2023: 1006-1021 - [c67]Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu:
The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects. CVPR 2023: 17276-17286 - [c66]Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar:
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects. CVPR 2023: 21201-21210 - [c65]Mengxi Li, Rika Antonova, Dorsa Sadigh, Jeannette Bohg:
Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation. ICRA 2023: 1859-1865 - [c64]Christopher Agia, Toki Migimatsu, Jiajun Wu, Jeannette Bohg:
STAP: Sequencing Task-Agnostic Policies. ICRA 2023: 7951-7958 - [c63]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. ICRA 2023: 9515-9522 - [c62]Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg:
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks. IROS 2023: 1-8 - [c61]Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz, Thomas A. Funkhouser:
TidyBot: Personalized Robot Assistance with Large Language Models. IROS 2023: 3546-3553 - [c60]Chaoyi Pan, Marion Lepert, Shenli Yuan, Rika Antonova, Jeannette Bohg:
In-Hand Manipulation of Unknown Objects with Tactile Sensing for Insertion. IROS 2023: 8765-8771 - [i78]Kevin Lin, Christopher Agia, Toki Migimatsu, Marco Pavone, Jeannette Bohg:
Text2Motion: From Natural Language Instructions to Feasible Plans. CoRR abs/2303.12153 (2023) - [i77]Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar:
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects. CoRR abs/2303.15782 (2023) - [i76]Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz, Thomas A. Funkhouser:
TidyBot: Personalized Robot Assistance with Large Language Models. CoRR abs/2305.05658 (2023) - [i75]Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu:
The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects. CoRR abs/2306.00956 (2023) - [i74]Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh, Jeannette Bohg:
KITE: Keypoint-Conditioned Policies for Semantic Manipulation. CoRR abs/2306.16605 (2023) - [i73]Tara Sadjadpour, Rares Ambrus, Jeannette Bohg:
ShaSTA-Fuse: Camera-LiDAR Sensor Fusion to Model Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking. CoRR abs/2310.02532 (2023) - [i72]Jingyun Yang, Max Sobol Mark, Brandon Vu, Archit Sharma, Jeannette Bohg, Chelsea Finn:
Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning. CoRR abs/2310.15145 (2023) - [i71]Carlota Parés-Morlans, Claire Chen, Yijia Weng, Michelle Yi, Yuying Huang, Nick Heppert, Linqi Zhou, Leonidas J. Guibas, Jeannette Bohg:
AO-Grasp: Articulated Object Grasp Generation. CoRR abs/2310.15928 (2023) - [i70]Jingyun Yang, Congyue Deng, Jimmy Wu, Rika Antonova, Leonidas J. Guibas, Jeannette Bohg:
EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation. CoRR abs/2310.16050 (2023) - 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) - [c59]Rika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula, Jeannette Bohg:
Rethinking Optimization with Differentiable Simulation from a Global Perspective. CoRL 2022: 276-286 - [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 L. 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 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 E. 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]