activity
20142023
most citedDeep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment

90 citations · 106 across the 6 of their papers we have counts for

collaborators

21 papers

cs.LG2024

Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments

Runfa Chen, Ling Wang, Yu Du +4

Learning policies for multi-entity systems in 3D environments is far more complicated against single-entity scenarios, due to the exponential expansion of the global state space as…

cs.LG2024

Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies

Yu Luo, Fuchun Sun, Tianying Ji +1

Hierarchical reinforcement learning (HRL) addresses complex long-horizon tasks by skillfully decomposing them into subgoals. Therefore, the effectiveness of HRL is greatly influenc…

cs.RO202457 cited

When Vision Meets Touch: A Contemporary Review for Visuotactile Sensors from the Signal Processing Perspective

Shoujie Li, Zihan Wang, Changsheng Wu +6

Tactile sensors, which provide information about the physical properties of objects, are an essential component of robotic systems. The visuotactile sensing technology with the mer…

cs.CV2024

Small Scale Data-Free Knowledge Distillation

He Liu, Yikai Wang, Huaping Liu +2

Data-free knowledge distillation is able to utilize the knowledge learned by a large teacher network to augment the training of a smaller student network without accessing the orig…

cs.CV2024

Equivariant Local Reference Frames for Unsupervised Non-rigid Point Cloud Shape Correspondence

Ling Wang, Runfa Chen, Yikai Wang +6

Unsupervised non-rigid point cloud shape correspondence underpins a multitude of 3D vision tasks, yet itself is non-trivial given the exponential complexity stemming from inter-poi…

cs.CV20241 cited

Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embedding

Pengkun Liu, Yikai Wang, Fuchun Sun +4

Encouraged by the growing availability of pre-trained 2D diffusion models, image-to-3D generation by leveraging Score Distillation Sampling (SDS) is making remarkable progress. Mos…