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Benjamin Burchfiel
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2020 – today
- 2024
- [j2]Cheng Chi, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song:
Iterative residual policy: For goal-conditioned dynamic manipulation of deformable objects. Int. J. Robotics Res. 43(4): 389-404 (2024) - [i16]Cheng Chi, Zhenjia Xu, Chuer Pan, Eric Cousineau, Benjamin Burchfiel, Siyuan Feng, Russ Tedrake, Shuran Song:
Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots. CoRR abs/2402.10329 (2024) - [i15]Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan Paul Foster, Grace Lam, Pannag Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn:
OpenVLA: An Open-Source Vision-Language-Action Model. CoRR abs/2406.09246 (2024) - [i14]Zeyi Liu, Cheng Chi, Eric Cousineau, Naveen Kuppuswamy, Benjamin Burchfiel, Shuran Song:
ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data. CoRR abs/2406.19464 (2024) - [i13]Allen Z. Ren, Justin Lidard, Lars Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz:
Diffusion Policy Policy Optimization. CoRR abs/2409.00588 (2024) - [i12]Hadas Kress-Gazit, Kunimatsu Hashimoto, Naveen Kuppuswamy, Paarth Shah, Phoebe Horgan, Gordon Richardson, Siyuan Feng, Benjamin Burchfiel:
Robot Learning as an Empirical Science: Best Practices for Policy Evaluation. CoRR abs/2409.09491 (2024) - [i11]Yifan Hou, Zeyi Liu, Cheng Chi, Eric Cousineau, Naveen Kuppuswamy, Siyuan Feng, Benjamin Burchfiel, Shuran Song:
Adaptive Compliance Policy: Learning Approximate Compliance for Diffusion Guided Control. CoRR abs/2410.09309 (2024) - [i10]Kyle Beltran Hatch, Ashwin Balakrishna, Oier Mees, Suraj Nair, Seohong Park, Blake Wulfe, Masha Itkina, Benjamin Eysenbach, Sergey Levine, Thomas Kollar, Benjamin Burchfiel:
GHIL-Glue: Hierarchical Control with Filtered Subgoal Images. CoRR abs/2410.20018 (2024) - 2023
- [c11]Allen Z. Ren, Hongkai Dai, Benjamin Burchfiel, Anirudha Majumdar:
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer. CoRL 2023: 3434-3452 - [c10]Alper Canberk, Cheng Chi, Huy Ha, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song:
Cloth Funnels: Canonicalized-Alignment for Multi-Purpose Garment Manipulation. ICRA 2023: 5872-5879 - [c9]Arpit Bahety, Shreeya Jain, Huy Ha, Nathalie Hager, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song:
Bag All You Need: Learning a Generalizable Bagging Strategy for Heterogeneous Objects. IROS 2023: 960-967 - [c8]Cheng Chi, Siyuan Feng, Yilun Du, Zhenjia Xu, Eric Cousineau, Benjamin Burchfiel, Shuran Song:
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion. Robotics: Science and Systems 2023 - [i9]Allen Z. Ren, Hongkai Dai, Benjamin Burchfiel, Anirudha Majumdar:
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer. CoRR abs/2302.04903 (2023) - [i8]Cheng Chi, Siyuan Feng, Yilun Du, Zhenjia Xu, Eric Cousineau, Benjamin Burchfiel, Shuran Song:
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion. CoRR abs/2303.04137 (2023) - 2022
- [c7]Cheng Chi, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song:
Iterative Residual Policy for Goal-Conditioned Dynamic Manipulation of Deformable Objects. Robotics: Science and Systems 2022 - [c6]Zhenjia Xu, Cheng Chi, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song:
DextAIRity: Deformable Manipulation Can be a Breeze. Robotics: Science and Systems 2022 - [i7]Cheng Chi, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song:
Iterative Residual Policy: for Goal-Conditioned Dynamic Manipulation of Deformable Objects. CoRR abs/2203.00663 (2022) - [i6]Zhenjia Xu, Cheng Chi, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song:
DextAIRity: Deformable Manipulation Can be a Breeze. CoRR abs/2203.01197 (2022) - [i5]Alper Canberk, Cheng Chi, Huy Ha, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song:
Cloth Funnels: Canonicalized-Alignment for Multi-Purpose Garment Manipulation. CoRR abs/2210.09347 (2022) - [i4]Arpit Bahety, Shreeya Jain, Huy Ha, Nathalie Hager, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song:
Bag All You Need: Learning a Generalizable Bagging Strategy for Heterogeneous Objects. CoRR abs/2210.09997 (2022)
2010 – 2019
- 2019
- [b1]Benjamin Clark Malloy Burchfiel:
3D Object Representations for Robot Perception. Duke University, Durham, NC, USA, 2019 - [c5]Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris:
Grounding Language Attributes to Objects using Bayesian Eigenobjects. IROS 2019: 1187-1194 - [i3]Benjamin Burchfiel, George Dimitri Konidaris:
Probabilistic Category-Level Pose Estimation via Segmentation and Predicted-Shape Priors. CoRR abs/1905.12079 (2019) - [i2]Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris:
Grounding Language Attributes to Objects using Bayesian Eigenobjects. CoRR abs/1905.13153 (2019) - 2018
- [j1]Yilun Zhou, Benjamin Burchfiel, George Dimitri Konidaris:
Representing, learning, and controlling complex object interactions. Auton. Robots 42(7): 1355-1367 (2018) - [c4]Benjamin Burchfiel, George Dimitri Konidaris:
Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision. IROS 2018: 6843-6850 - [i1]Benjamin Burchfiel, George Dimitri Konidaris:
Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision. CoRR abs/1806.07872 (2018) - 2017
- [c3]Benjamin Burchfiel, George Dimitri Konidaris:
Bayesian Eigenobjects: A Unified Framework for 3D Robot Perception. Robotics: Science and Systems 2017 - 2016
- [c2]Benjamin Burchfiel, Carlo Tomasi, Ronald Parr:
Distance Minimization for Reward Learning from Scored Trajectories. AAAI 2016: 3330-3336 - 2013
- [c1]Jun-Ming Xu, Benjamin Burchfiel, Xiaojin Zhu, Amy Bellmore:
An Examination of Regret in Bullying Tweets. HLT-NAACL 2013: 697-702
Coauthor Index
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last updated on 2024-11-30 00:16 CET by the dblp team
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