Fetching the paper…
Reading the bibliography…
Key to rich, dexterous manipulation in the real world is the ability to coordinate control across two hands.
Kinematic analysis of workpart fixturing for flexible assembly with automatically reconfigurable fixtures
H. Asada and A. By · 1985
Earlier work this paper cites.
Fixture Planning With Friction
S. H. Lee and M. R. Cutkosky · 1991
Earlier work this paper cites.
Coordinated control of multiple manipulator systems
P. Hsu · 1993
Earlier work this paper cites.
Intelligent planning and control for multirobot coordination: An event-based approach
N. Xi, T.-J. Tarn, and A. Bejczy · 1996
Earlier work this paper cites.
Programming by Demonstration: Dual-Arm Manipulation Tasks for Humanoid Robots
R. Zöllner, T. Asfour, and R. Dillmann · 2004
Earlier work this paper cites.
Dynamic model and simulation of cooperative robots: A case study
J. Gudiño Lau · 2005
Earlier work this paper cites.
Recognition and manipulation integration for a daily assistive robot working on kitchen environments
K. Yamazaki, Y. Watanabe, K. Nagahama, K. Okada, and M. Inaba · 2010
Earlier work this paper cites.
Bimanual robotic cloth manipulation for laundry folding
C. Bersch, B. Pitzer, and S. Kammel · 2011
Earlier work this paper cites.
Dual arm manipulation—A survey
C. Smith, Y. Karayiannidis, L. Nalpantidis, X. Gratal, P. Qi, D. V. Dimarogonas, and D. Kragic · 2012
Earlier work this paper cites.
Cooking behavior with handling general cooking tools based on a system integration for a life-sized humanoid robot
Y. Watanabe, K. Nagahama, K. Yamazaki, K. Okada, and M. Inaba · 2013
Earlier work this paper cites.
Learning nonlinear dynamical system for movement primitives
X. Yin and Q. Chen · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
Earlier work this paper cites.
Learning manipulation by sequencing motor primitives with a two-armed robot
R. Lioutikov, O. Kroemer, G. Maeda, and J. Peters · 2016
Earlier work this paper cites.
Identity Mappings in Deep Residual Networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Earlier work this paper cites.
Constraints extraction from asymmetrical bimanual tasks and their use in coordinated behavior
L. P. Ureche and A. Billard · 2017
Earlier work this paper cites.
Learning Complex Manipulation Tasks from Heterogeneous and Unstructured Demonstrations
N. Figueroa and A. Billard · 2017
Earlier work this paper cites.
Compliant movement primitives in a bimanual setting
A. Batinica, B. Nemec, A. Ude, M. Raković, and A. Gams · 2017
Earlier work this paper cites.
Dynamical System-Based Motion Planning for Multi-Arm Systems: Reaching for Moving Objects
S. S. Mirrazavi Salehian, N. Figueroa, and A. Billard · 2017
Cited alongside, same era.
Dimensionality Reduction for Dynamic Movement Primitives and Application to Bimanual Manipulation of Clothes
A. Colomé and C. Torras · 2018
Cited alongside, same era.
A certified-complete bimanual manipulation planner
P. Lertkultanon and Q.-C. Pham · 2018
Cited alongside, same era.
Manipulation Planning under Changing External Forces
L. Chen, L. F. C. Figueredo, and M. Dogar · 2018
Cited alongside, same era.
Learning from My Partner’s Actions: Roles in Decentralized Robot Teams
D. P. Losey, M. Li, J. Bohg, and D. Sadigh · 2019
Flingbot: The unreasonable effectiveness of dynamic manipulation for cloth unfolding
H. Ha and S. Song · 2021
Later among the works it cites.
What matters in learning from offline human demonstrations for robot manipulation
A. Mandlekar, D. Xu, J. Wong, S. Nasiriany, C. Wang, R. Kulkarni, L. Fei-Fei, S. Savarese, Y. Zhu, and R. Martín-Martín · 2021
Later among the works it cites.
Learning Bimanual Scooping Policies for Food Acquisition
J. Grannen, Y. Wu, S. Belkhale, and D. Sadigh · 2022
Later among the works it cites.
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
Z. Fu, X. Cheng, and D. Pathak · 2022
Later among the works it cites.
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning , 2022
Y. Chen, Y. Yang, T. Wu, S. Wang, X. Feng, J. Jiang, S. M. McAleer, H. Dong, Z. Lu, and S.-C. Zhu · 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Exploiting Symmetries in Reinforcement Learning of Bimanual Robotic Tasks
F. Amadio, A. Colomé, and C. Torras · 2019
Cited alongside, same era.
Leveraging Multimodal Haptic Sensory Data for Robust Cutting
K. Zhang, M. Sharma, M. Veloso, and O. Kroemer · 2019
Cited alongside, same era.
Deep imitation learning for bimanual robotic manipulation
F. Xie, A. Chowdhury, M. C. D. P. Kaluza, L. Zhao, L. L. S. Wong, and R. Yu · 2020
Cited alongside, same era.
Reinforcement Learning of Bimanual Robot Skills
A. Colomé and C. Torras · 2020
Cited alongside, same era.
Efficient Bimanual Manipulation Using Learned Task Schemas
R. Chitnis, S. Tulsiani, S. Gupta, and A. Gupta · 2020
Cited alongside, same era.
Untangling Dense Knots by Learning Task-Relevant Keypoints
J. Grannen, P. Sundaresan, B. Thananjeyan, J. Ichnowski, A. Balakrishna, M. Hwang, V. Viswanath, M. Laskey, J. E. Gonzalez, and K. Goldberg · 2020
Cited alongside, same era.
Intrinsic Motivation for Encouraging Synergistic Behavior
R. Chitnis, S. Tulsiani, S. Gupta, and A. Gupta · 2020
Cited alongside, same era.
Later among the works it cites.
Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement Learning , 2022
S. Kataoka, S. K. S. Ghasemipour, D. Freeman, and I. Mordatch · 2022
Later among the works it cites.
A system for imitation learning of contact-rich bimanual manipulation policies
S. Stepputtis, M. Bandari, S. Schaal, and H. B. Amor · 2022
Later among the works it cites.
Interactive imitation learning of bimanual movement primitives, 2022
G. Franzese, L. de Souza Rosa, T. Verburg, L. Peternel, and J. Kober · 2022
Later among the works it cites.
SpeedFolding: Learning Efficient Bimanual Folding of Garments
Y. Avigal, L. Berscheid, T. Asfour, T. Kröger, and K. Goldberg · 2022
Later among the works it cites.
Safely Learning Visuo-Tactile Feedback Policies in Real For Industrial Insertion , 2022
L. Fu, H. Huang, L. Berscheid, H. Li, K. Goldberg, and S. Chitta · 2022
Later among the works it cites.
Robust planning for multi-stage forceful manipulation
R. Holladay, T. Lozano-Pérez, and A. Rodriguez · 2022
Later among the works it cites.
URL https://3dconnexion.com/us/product/spacemouse-compact/
Dec 2022 · 2022
Later among the works it cites.
It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying
E. Ng, Z. Liu, and M. Kennedy III · 2023
Closest in time.
A review on reinforcement learning for contact-rich robotic manipulation tasks
Íñigo Elguea-Aguinaco, A. Serrano-Muñoz, D. Chrysostomou, I. Inziarte-Hidalgo, S. Bøgh, and N. Arana-Arexolaleiba · 2023
Closest in time.
Learning fine-grained bimanual manipulation with low-cost hardware, 2023
T. Z. Zhao, V. Kumar, S. Levine, and C. Finn · 2023
Closest in time.
URL https://sdurobotics.gitlab.io/ur_rtde/
2023 · 2023
Closest in time.