Grasping familiar objects using shape context. - Jeannette Bohg; Danica Kragic (ICAR, 2009)

Integration of Visual Cues for Robotic Grasping. - Niklas Bergström; Jeannette Bohg; Danica Kragic (ICVS, 2009)

Towards Grasp-Oriented Visual Perception for Humanoid Robots. - Jeannette Bohg; Carl Barck-Holst; Kai Huebner; Maria Ralph; Babak Rasolzadeh; Dan Song 002; Danica Kragic (Int. J. Humanoid Robotics, 2009)

Enhanced Visual Scene Understanding through Human-Robot Dialog. - Matthew Johnson-Roberson; Jeannette Bohg; Danica Kragic; Gabriel Skantze; Joakim Gustafson; Rolf Carlson (AAAI Fall Symposium: Dialog with Robots, 2010)

Strategies for multi-modal scene exploration. - Jeannette Bohg; Matthew Johnson-Roberson; Mårten Björkman; Danica Kragic (IROS, 2010)

Attention-based active 3D point cloud segmentation. - Matthew Johnson-Roberson; Jeannette Bohg; Mårten Björkman; Danica Kragic (IROS, 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 (SIMPAR, 2010)

Learning grasping points with shape context. - Jeannette Bohg; Danica Kragic (Robotics Auton. Syst., 2010)

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 (ICRA, 2011)

Enhanced visual scene understanding through human-robot dialog. - Matthew Johnson-Roberson; Jeannette Bohg; Gabriel Skantze; Joakim Gustafson; Rolf Carlson; Babak Rasolzadeh; Danica Kragic (IROS, 2011)

Multi-Modal Scene Understanding for Robotic Grasping. - Jeannette Bohg (2011)

Towards Multi-DOF model mediated teleoperation: Using vision to augment feedback. - Bert Willaert; Jeannette Bohg; Hendrik Van Brussel; Günter Niemeyer (HAVE, 2012)

Task-Based Grasp Adaptation on a Humanoid Robot. - Jeannette Bohg; Kai Welke; Beatriz León; Martin Do; Dan Song 002; Walter Wohlkinger; Aitor Aldoma; Marianna Madry; Markus Przybylski; Tamim Asfour; Higinio Marti; Danica Kragic; et al. (SyRoCo, 2012)

Fusing visual and tactile sensing for 3-D object reconstruction while grasping. - Jarmo Ilonen; Jeannette Bohg; Ville Kyrki (ICRA, 2013)

Probabilistic object tracking using a range camera. - Manuel Wuthrich; Peter Pastor; Mrinal Kalakrishnan; Jeannette Bohg; Stefan Schaal (IROS, 2013)

AGILITY - Dynamic full body locomotion and manipulation with autonomous legged robots. - Marco Hutter 001; Michael Blösch; Jonas Buchli; Claudio Semini; Stéphane Bazeille; Ludovic Righetti; Jeannette Bohg (SSRR, 2013)

Robot arm pose estimation through pixel-wise part classification. - Jeannette Bohg; Javier Romero 002; Alexander Herzog; Stefan Schaal (ICRA, 2014)

Dual execution of optimized contact interaction trajectories. - Marc Toussaint; Nathan D. Ratliff; Jeannette Bohg; Ludovic Righetti; Peter Englert; Stefan Schaal (IROS, 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)

Three-dimensional object reconstruction of symmetric objects by fusing visual and tactile sensing. - Jarmo Ilonen; Jeannette Bohg; Ville Kyrki (Int. J. Robotics Res., 2014)

Data-Driven Grasp Synthesis - A Survey. - Jeannette Bohg; Antonio Morales; Tamim Asfour; Danica Kragic (IEEE Trans. Robotics, 2014)

Leveraging big data for grasp planning. - Daniel Kappler; Jeannette Bohg; Stefan Schaal (ICRA, 2015)

The Coordinate Particle Filter - a novel Particle Filter for high dimensional systems. - Manuel Wüthrich; Jeannette Bohg; Daniel Kappler; Claudia Pfreundt; Stefan Schaal (ICRA, 2015)

Direct Loss Minimization Inverse Optimal Control. - Andreas Doerr; Nathan D. Ratliff; Jeannette Bohg; Marc Toussaint; Stefan Schaal (Robotics: Science and Systems, 2015)

Policy Learning with Hypothesis based Local Action Selection. - Bharath Sankaran; Jeannette Bohg; Nathan D. Ratliff; Stefan Schaal (CoRR, 2015)

Robust Gaussian filtering using a pseudo measurement. - Manuel Wuthrich; Cristina Garcia Cifuentes; Sebastian Trimpe; Franziska Meier; Jeannette Bohg; Jan Issac; Stefan Schaal (ACC, 2016)

Exemplar-based prediction of global object shape from local shape similarity. - Jeannette Bohg; Daniel Kappler; Stefan Schaal (ICRA, 2016)

Depth-based object tracking using a Robust Gaussian Filter. - Jan Issac; Manuel Wüthrich; Cristina Garcia Cifuentes; Jeannette Bohg; Sebastian Trimpe; Stefan Schaal (ICRA, 2016)

Optimizing for what matters: The top grasp hypothesis. - Daniel Kappler; Stefan Schaal; Jeannette Bohg (ICRA, 2016)

Automatic LQR tuning based on Gaussian process global optimization. - Alonso Marco; Philipp Hennig; Jeannette Bohg; Stefan Schaal; Sebastian Trimpe (ICRA, 2016)

Robot arm pose estimation by pixel-wise regression of joint angles. - Felix Widmaier; Daniel Kappler; Stefan Schaal; Jeannette Bohg (ICRA, 2016)

Learning where to search using visual attention. - Alina Kloss; Daniel Kappler; Hendrik P. A. Lensch; Martin V. Butz; Stefan Schaal; Jeannette Bohg (IROS, 2016)

Big Data on Robotics. - Jeannette Bohg; Matei T. Ciocarlie; Javier Civera 001; Lydia E. Kavraki (Big Data, 2016)

Latest Datasets and Technologies Presented in the Workshop on Grasping and Manipulation Datasets. - Matteo Bianchi 002; Jeannette Bohg; Yu Sun 004 (CoRR, 2016)

On the Fundamental Importance of Gauss-Newton in Motion Optimization. - Nathan D. Ratliff; Marc Toussaint; Jeannette Bohg; Stefan Schaal (CoRR, 2016)

On the relevance of grasp metrics for predicting grasp success. - Carlos Rubert; Daniel Kappler; Antonio Morales; Stefan Schaal; Jeannette Bohg (IROS, 2017)

Reports on the 2017 AAAI Spring Symposium Series. - Jeannette Bohg; Xavier Boix; Nancy Chang; Elizabeth F. Churchill; Vivian Chu; Fei Fang 001; Jerome Feldman; Avelino J. Gonzalez; Takashi Kido; William F. Lawless; José L. Montaña; Santiago Ontañón; et al. (AI Mag., 2017)

Combining learned and analytical models for predicting action effects. - Alina Kloss; Stefan Schaal; Jeannette Bohg (CoRR, 2017)

Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning. - Wenbin Li 003; Jeannette Bohg; Mario Fritz (CoRR, 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)

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)

ClusterNet: Instance Segmentation in RGB-D Images. - Lin Shao 002; Ye Tian; Jeannette Bohg (CoRR, 2018)

Grasp success prediction with quality metrics. - Carlos Rubert; Daniel Kappler; Jeannette Bohg; Antonio Morales (CoRR, 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)

Motion-Based Object Segmentation Based on Dense RGB-D Scene Flow. - Lin Shao 002; Parth Shah 003; Vikranth Dwaracherla; Jeannette Bohg (IEEE Robotics Autom. Lett., 2018)

Learning from My Partner's Actions: Roles in Decentralized Robot Teams. - Dylan P. Losey; Mengxi Li; Jeannette Bohg; Dorsa Sadigh (CoRL, 2019)

MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences. - Xingyu Liu 001; Mengyuan Yan; Jeannette Bohg (ICCV, 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 003; Silvio Savarese; Li Fei-Fei 001; Animesh Garg; Jeannette Bohg (ICRA, 2019)

Leveraging Contact Forces for Learning to Grasp. - Hamza Merzic; Miroslav Bogdanovic; Daniel Kappler; Ludovic Righetti; Jeannette Bohg (ICRA, 2019)

Learning to Estimate Pose and Shape of Hand-Held Objects from RGB Images. - Mia Kokic; Danica Kragic; Jeannette Bohg (IROS, 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 (IROS, 2019)

Learning Manipulation under Physics Constraints with Visual Perception. - Wenbin Li 003; Ales Leonardis; Jeannette Bohg; Mario Fritz (CoRR, 2019)

Learning Visual Dynamics Models of Rigid Objects using Relational Inductive Biases. - Fábio Ferreira; Lin Shao 002; Tamim Asfour; Jeannette Bohg (CoRR, 2019)

UniGrasp: Learning a Unified Model to Grasp with N-Fingered Robotic Hands. - Lin Shao 002; Fábio Ferreira; Mikael Jorda; Varun Nambiar; Jianlan Luo; Eugen Solowjow; Juan Aparicio Ojea; Oussama Khatib; Jeannette Bohg (CoRR, 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)

Learning an Action-Conditional Model for Haptic Texture Generation. - Negin Heravi; Wenzhen Yuan 001; Allison M. Okamura; Jeannette Bohg (ICRA, 2020)

Accurate Vision-based Manipulation through Contact Reasoning. - Alina Kloss; Maria Bauzá 001; Jiajun Wu 001; Joshua B. Tenenbaum; Alberto Rodriguez 003; Jeannette Bohg (ICRA, 2020)

Learning Hierarchical Control for Robust In-Hand Manipulation. - Tingguang Li; Krishnan Srinivasan; Max Qing-Hu Meng; Wenzhen Yuan 001; Jeannette Bohg (ICRA, 2020)

Learning to Scaffold the Development of Robotic Manipulation Skills. - Lin Shao 002; Toki Migimatsu; Jeannette Bohg (ICRA, 2020)

Multimodal Sensor Fusion with Differentiable Filters. - Michelle A. Lee; Brent Yi; Roberto Martín-Martín; Silvio Savarese; Jeannette Bohg (IROS, 2020)

Learning User-Preferred Mappings for Intuitive Robot Control. - Mengxi Li; Dylan P. Losey; Jeannette Bohg; Dorsa Sadigh (IROS, 2020)

Learning Topological Motion Primitives for Knot Planning. - Mengyuan Yan; Gen Li 010; Yilin Zhu; Jeannette Bohg (IROS, 2020)

Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations. - Lin Shao 002; Toki Migimatsu; Qiang Zhang; Kaiyuan Yang 001; Jeannette Bohg (Robotics: Science and Systems, 2020)

Probabilistic 3D Multi-Object Tracking for Autonomous Driving. - Hsu-Kuang Chiu; Antonio Prioletti; Jie Li 031; Jeannette Bohg (CoRR, 2020)

GRAC: Self-Guided and Self-Regularized Actor-Critic. - Lin Shao 002; Yifan You; Mengyuan Yan; Qingyun Sun; Jeannette Bohg (CoRR, 2020)

Learning Task-Oriented Grasping From Human Activity Datasets. - Mia Kokic; Danica Kragic; 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)

UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands. - Lin Shao 002; Fábio Ferreira; Mikael Jorda; Varun Nambiar; Jianlan Luo; Eugen Solowjow; Juan Aparicio Ojea; Oussama Khatib; Jeannette Bohg (IEEE Robotics Autom. Lett., 2020)

Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects. - Mengyuan Yan; Yilin Zhu; Ning Jin 002; Jeannette Bohg (IEEE Robotics Autom. Lett., 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 001; Animesh Garg; Jeannette Bohg (IEEE Trans. Robotics, 2020)

Learning to be Multimodal : Co-evolving Sensory Modalities and Sensor Properties. - Rika Antonova; Jeannette Bohg (CoRL, 2021)

DiffImpact: Differentiable Rendering and Identification of Impact Sounds. - Samuel Clarke; Negin Heravi; Mark Rau; Ruohan Gao; Jiajun Wu 001; Doug L. James; Jeannette Bohg (CoRL, 2021)

GRAC: Self-Guided and Self-Regularized Actor-Critic. - Lin Shao 002; Yifan You; Mengyuan Yan; Shenli Yuan; Qingyun Sun; Jeannette Bohg (CoRL, 2021)

XIRL: Cross-embodiment Inverse Reinforcement Learning. - Kevin Zakka; Andy Zeng 001; Pete Florence; Jonathan Tompson; Jeannette Bohg; Debidatta Dwibedi (CoRL, 2021)

Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. - Hsu-Kuang Chiu; Jie Li 031; Rares Ambrus; Jeannette Bohg (ICRA, 2021)

Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors. - Michelle A. Lee; Matthew Tan; Yuke Zhu; Jeannette Bohg (ICRA, 2021)

OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation. - Yifan You; Lin Shao 002; Toki Migimatsu; Jeannette Bohg (ICRA, 2021)

Interpreting Contact Interactions to Overcome Failure in Robot Assembly Tasks. - Peter A. Zachares; Michelle A. Lee; Wenzhao Lian; Jeannette Bohg (ICRA, 2021)

TrajectoTree: Trajectory Optimization Meets Tree Search for Planning Multi-contact Dexterous Manipulation. - Claire Chen; Preston Culbertson; Marion Lepert; Mac Schwager; Jeannette Bohg (IROS, 2021)

Differentiable Factor Graph Optimization for Learning Smoothers. - Brent Yi; Michelle A. Lee; Alina Kloss; Roberto Martín-Martín; Jeannette Bohg (IROS, 2021)

How to train your differentiable filter. - Alina Kloss; Georg Martius; Jeannette Bohg (Auton. Robots, 2021)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 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 001; et al. (CoRR, 2021)

Concept2Robot: Learning manipulation concepts from instructions and human demonstrations. - Lin Shao 002; Toki Migimatsu; Qiang Zhang; Karen Yang; Jeannette Bohg (Int. J. Robotics Res., 2021)

Robotic Hands, Grasping, And Manipulation [TC Spotlight]. - Matteo Bianchi 002; Jeannette Bohg; Hyungpil Moon; Robert Platt 001; Rich Walker (IEEE Robotics Autom. Mag., 2021)

Rethinking Optimization with Differentiable Simulation from a Global Perspective. - Rika Antonova; Jingyun Yang; Krishna Murthy Jatavallabhula; Jeannette Bohg (CoRL, 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 001; Wenzhen Yuan 001; Jiajun Wu 001 (CVPR, 2022)

Grounding Predicates through Actions. - Toki Migimatsu; Jeannette Bohg (ICRA, 2022)

Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks. - Toki Migimatsu; Wenzhao Lian; Jeannette Bohg; Stefan Schaal (ICRA, 2022)

Learning Periodic Tasks from Human Demonstrations. - Jingyun Yang; Junwu Zhang; Connor Settle; Akshara Rai; Rika Antonova; Jeannette Bohg (ICRA, 2022)

Category-Independent Articulated Object Tracking with Factor Graphs. - Nick Heppert; Toki Migimatsu; Brent Yi; Claire Chen; Jeannette Bohg (IROS, 2022)

Whisker-Inspired Tactile Sensing for Contact Localization on Robot Manipulators. - Michael A. Lin; Emilio Reyes; Jeannette Bohg; Mark R. Cutkosky (IROS, 2022)

DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects. - Priya Sundaresan; Rika Antonova; Jeannette Bohg (IROS, 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)

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)

Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking. - JunYoung Gwak; Silvio Savarese; Jeannette Bohg (CoRR, 2022)

TAPS: Task-Agnostic Policy Sequencing. - Christopher Agia; Toki Migimatsu; Jiajun Wu 001; 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)

ShaSTA: Modeling Shape and 0031Spatio-Temporal Affinities for 3D Multi-Object Tracking. - Tara Sadjadpour; Jie Li 031; Rares Ambrus; 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 001; Jeannette Bohg (CoRR, 2022)

Combining learned and analytical models for predicting action effects from sensory data. - Alina Kloss; Stefan Schaal; Jeannette Bohg (Int. J. Robotics Res., 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)

A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation. - Rika Antonova; Jingyun Yang; Priya Sundaresan; Dieter Fox; Fabio Ramos 001; Jeannette Bohg (IEEE Robotics Autom. Lett., 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)

KITE: Keypoint-Conditioned Policies for Semantic Manipulation. - Priya Sundaresan; Suneel Belkhale; Dorsa Sadigh; Jeannette Bohg (CoRL, 2023)

The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects. - Ruohan Gao; Yiming Dou; Hao Li 076; Tanmay Agarwal; Jeannette Bohg; Yunzhu Li; Li Fei-Fei 001; Jiajun Wu 001 (CVPR, 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 (CVPR, 2023)

STAP: Sequencing Task-Agnostic Policies. - Christopher Agia; Toki Migimatsu; Jiajun Wu 001; Jeannette Bohg (ICRA, 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 (ICRA, 2023)

Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation. - Mengxi Li; Rika Antonova; Dorsa Sadigh; Jeannette Bohg (ICRA, 2023)

Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks. - Kuan Fang; Toki Migimatsu; Ajay Mandlekar; Li Fei-Fei 001; Jeannette Bohg (IROS, 2023)

In-Hand Manipulation of Unknown Objects with Tactile Sensing for Insertion. - Chaoyi Pan; Marion Lepert; Shenli Yuan; Rika Antonova; Jeannette Bohg (IROS, 2023)

The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects. - Ruohan Gao; Yiming Dou; Hao Li 076; Tanmay Agarwal; Jeannette Bohg; Yunzhu Li; Li Fei-Fei 001; Jiajun Wu 001 (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)

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, 2023)

Text2Motion: from natural language instructions to feasible plans. - Kevin Lin; Christopher Agia; Toki Migimatsu; Marco Pavone 001; Jeannette Bohg (Auton. Robots, 2023)

TidyBot: personalized robot assistance with large language models. - Jimmy Wu; Rika Antonova; Adam Kan; Marion Lepert; Andy Zeng 001; Shuran Song; Jeannette Bohg; Szymon Rusinkiewicz; Thomas A. Funkhouser (Auton. Robots, 2023)

Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress. - Christopher Agia; Rohan Sinha; Jingyun Yang; Ziang Cao; Rika Antonova; Marco Pavone 001; Jeannette Bohg (CoRL, 2024)

SHADOW: Leveraging Segmentation Masks for Cross-Embodiment Policy Transfer. - Marion Lepert; Ria Doshi; Jeannette Bohg (CoRL, 2024)

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 (CoRL, 2024)

RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches. - Priya Sundaresan; Quan Vuong; Jiayuan Gu; Peng Xu 010; Ted Xiao; Sean Kirmani; Tianhe Yu; Michael Stark 003; Ajinkya Jain; Karol Hausman; Dorsa Sadigh; Jeannette Bohg; et al. (CoRL, 2024)

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 (CoRL, 2024)

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 001; Jeannette Bohg; Yixin Zhu 001; Leonidas J. Guibas (CoRL, 2024)

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 (CoRL, 2024)

EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning. - Jingyun Yang; Ziang Cao; Congyue Deng; Rika Antonova; Shuran Song; Jeannette Bohg (CoRL, 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 (ICRA, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

COAST: COnstraints And STreams for Task and Motion Planning. - Brandon Vu; Toki Migimatsu; Jeannette Bohg (ICRA, 2024)

EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation. - Jingyun Yang; Congyue Deng; Jimmy Wu; Rika Antonova; Leonidas J. Guibas; Jeannette Bohg (ICRA, 2024)

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 (ICRA, 2024)

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 (IROS, 2024)

SpringGrasp: Synthesizing Compliant, Dexterous Grasps under Shape Uncertainty. - Sirui Chen; Jeannette Bohg; C. Karen Liu (Robotics: Science and Systems, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation. - Aaditya Prasad; Kevin Lin; Jimmy Wu; Linqi Zhou; Jeannette Bohg (Robotics: Science and Systems, 2024)

Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics. - Yixuan Huang; Christopher Agia; Jimmy Wu; Tucker Hermans; Jeannette Bohg (CoRR, 2024)

Development and Evaluation of a Learning-Based Model for Real-Time Haptic Texture Rendering. - Negin Heravi; Heather Culbertson; Allison M. Okamura; Jeannette Bohg (IEEE Trans. Haptics, 2024)

Design and Control of Roller Grasper V3 for In-Hand Manipulation. - Shenli Yuan; Lin Shao 002; Yunhai Feng; Jiatong Sun; Teng Xue; Connor L. Yako; Jeannette Bohg; J. Kenneth Salisbury (IEEE Trans. Robotics, 2024)

ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking. - Tara Sadjadpour; Jie Li 017; Rares Ambrus; Jeannette Bohg (IEEE Robotics Autom. Lett., 2024)

What's the Move? Hybrid Imitation Learning via Salient Points. - Priya Sundaresan; Hengyuan Hu; Quan Vuong; Jeannette Bohg; Dorsa Sadigh (ICLR, 2025)

Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning. - Juntao Ren; Priya Sundaresan; Dorsa Sadigh; Sanjiban Choudhury; Jeannette Bohg (CoRR, 2025)

Force-Aware Autonomous Robotic Surgery. - Alaa Eldin Abdelaal; Jiaying Fang; Tim N. Reinhart; Jacob A. Mejia; Tony Z. Zhao; Jeannette Bohg; Allison M. Okamura (CoRR, 2025)

Phantom: Training Robots Without Robots Using Only Human Videos. - Marion Lepert; Jiaying Fang; Jeannette Bohg (CoRR, 2025)

Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL using One Human Demonstration. - Tyler Ga Wei Lum; Olivia Y. Lee; C. Karen Liu; Jeannette Bohg (CoRR, 2025)

Deformable Cargo Transport in Microgravity with Astrobee. - Daniel Morton; Rika Antonova; Brian Coltin; Marco Pavone 001; Jeannette Bohg (CoRR, 2025)

Causal-PIK: Causality-based Physical Reasoning with a Physics-Informed Kernel. - Carlota Parés-Morlans; Michelle Yi; Claire Chen; Sarah A. Wu; Rika Antonova; Tobias Gerstenberg; Jeannette Bohg (CoRR, 2025)

Mobi-π: Mobilizing Your Robot Learning Policy. - Jingyun Yang; Isabella Huang; Brandon Vu; Max Bajracharya; Rika Antonova; Jeannette Bohg (CoRR, 2025)

HoMeR: Learning In-the-Wild Mobile Manipulation via Hybrid Imitation and Whole-Body Control. - Priya Sundaresan; Rhea Malhotra; Phillip Miao; Jingyun Yang; Jimmy Wu; Hengyuan Hu; Rika Antonova; Francis Engelmann; Dorsa Sadigh; Jeannette Bohg (CoRR, 2025)

Vision in Action: Learning Active Perception from Human Demonstrations. - Haoyu Xiong; Xiaomeng Xu; Jimmy Wu; Yifan Hou; Jeannette Bohg; Shuran Song (CoRR, 2025)

CUPID: Curating Data your Robot Loves with Influence Functions. - Christopher Agia; Rohan Sinha; Jingyun Yang; Rika Antonova; Marco Pavone 001; Haruki Nishimura; Masha Itkina; Jeannette Bohg (CoRR, 2025)

Scaffolding Dexterous Manipulation with Vision-Language Models. - Vincent de Bakker; Joey Hejna; Tyler Ga Wei Lum; Onur Celik; Aleksandar Taranovic; Denis Blessing; Gerhard Neumann; Jeannette Bohg; Dorsa Sadigh (CoRR, 2025)

DexForce: Extracting Force-Informed Actions From Kinesthetic Demonstrations for Dexterous Manipulation. - Claire Chen; Zhongchun Yu; Hojung Choi; Mark R. Cutkosky; Jeannette Bohg (IEEE Robotics Autom. Lett., 2025)

SLAG: Scalable Language-Augmented Gaussian Splatting. - László Szilágyi; Francis Engelmann; Jeannette Bohg (IEEE Robotics Autom. Lett., 2025)

Constraint-Preserving Data Generation for Visuomotor Policy Learning. - Kevin Lin; Varun Ragunath; Andrew McAlinden; Aaditya Prasad; Jimmy Wu; Yuke Zhu; Jeannette Bohg (CoRR, 2025)

Masquerade: Learning from In-the-wild Human Videos using Data-Editing. - Marion Lepert; Jiaying Fang; Jeannette Bohg (CoRR, 2025)