Dynamic handover: Throw and catch with bimanual hands

B Huang, Y Chen, T Wang, Y Qin, Y Yang… - arXiv preprint arXiv …, 2023 - arxiv.org
Humans throw and catch objects all the time. However, such a seemingly common skill
introduces a lot of challenges for robots to achieve: The robots need to operate such …

[HTML][HTML] Human-robot object handover: Recent progress and future direction

H Duan, Y Yang, D Li, P Wang - Biomimetic Intelligence and Robotics, 2024 - Elsevier
Human–robot object handover is one of the most primitive and crucial capabilities in human–
robot collaboration. It is of great significance to promote robots to truly enter human …

Learning Visuotactile Skills with Two Multifingered Hands

T Lin, Y Zhang, Q Li, H Qi, B Yi, S Levine… - arXiv preprint arXiv …, 2024 - arxiv.org
Aiming to replicate human-like dexterity, perceptual experiences, and motion patterns, we
explore learning from human demonstrations using a bimanual system with multifingered …

Twisting lids off with two hands

T Lin, ZH Yin, H Qi, P Abbeel, J Malik - arXiv preprint arXiv:2403.02338, 2024 - arxiv.org
Manipulating objects with two multi-fingered hands has been a long-standing challenge in
robotics, attributed to the contact-rich nature of many manipulation tasks and the complexity …

Multi Actor-Critic DDPG for Robot Action Space Decomposition: A Framework to Control Large 3D Deformation of Soft Linear Objects

M Daniel, A Magassouba, M Aranda… - arXiv preprint arXiv …, 2023 - arxiv.org
Robotic manipulation of deformable linear objects (DLOs) has great potential for
applications in diverse fields such as agriculture or industry. However, a major challenge …

Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist

H Nguyen, T Kozuno, CC Beltran-Hernandez… - arXiv preprint arXiv …, 2024 - arxiv.org
This study tackles the representative yet challenging contact-rich peg-in-hole task of robotic
assembly, using a soft wrist that can operate more safely and tolerate lower-frequency …

Peract2: Benchmarking and learning for robotic bimanual manipulation tasks

M Grotz, M Shridhar, YW Chao, T Asfour… - CoRL 2024 Workshop …, 2024 - openreview.net
Bimanual manipulation is challenging due to precise spatial and temporal coordination
required between two arms. While there exist several real-world bimanual systems, there is …

Learning Multi-Agent Loco-Manipulation for Long-Horizon Quadrupedal Pushing

Y Feng, C Hong, Y Niu, S Liu, Y Yang, W Yu… - arXiv preprint arXiv …, 2024 - arxiv.org
Recently, quadrupedal locomotion has achieved significant success, but their manipulation
capabilities, particularly in handling large objects, remain limited, restricting their usefulness …

VTAO-BiManip: Masked Visual-Tactile-Action Pre-training with Object Understanding for Bimanual Dexterous Manipulation

Z Sun, Z Shi, J Chen, Q Liu, Y Cui, Q Ye… - arXiv preprint arXiv …, 2025 - arxiv.org
Bimanual dexterous manipulation remains significant challenges in robotics due to the high
DoFs of each hand and their coordination. Existing single-hand manipulation techniques …

Multi Actor-Critic DDPG for Robot Action Space Decomposition: A Framework to Control Large 3D Deformation of Soft Linear Objects

M Daniel, A Magassouba, M Aranda… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Robotic manipulation of deformable linear objects (DLOs) has great potential for
applications in diverse fields such as agriculture or industry. However, a major challenge …