47 citations · 64 across the 15 of their papers we have counts for
4 papers · 1 filter
FeelWorld: Visuo-Tactile World Model for Hierarchical Contact Prediction and Planning
Wenxuan Ma, Chaofan Zhang, Chao Xue +4
Humans plan physical interactions by imagining the possible outcomes of candidate actions. However, existing visual world models primarily capture appearance dynamics while overloo…
CoRe: Combined Rewards with Vision-Language Model Feedback for Preference-Aligned Reinforcement Learning
Hexian Ni, Tao Lu, Yinghao Cai
Reward design remains a central challenge in reinforcement learning (RL). Hand-crafted rewards are often difficult to specify and may lead to suboptimal policies, while learned rew…
FG-CLTP: Fine-Grained Contrastive Language Tactile Pretraining for Robotic Manipulation
Wenxuan Ma, Chaofan Zhang, Yinghao Cai +3
Recent advancements in integrating tactile sensing into vision-language-action (VLA) models have demonstrated transformative potential for robotic perception. However, existing tac…
PEAfowl: Perception-Enhanced Multi-View Vision-Language-Action for Bimanual Manipulation
Qingyu Fan, Zhaoxiang Li, Jinrui Hu +8
Bimanual manipulation in cluttered scenes requires policies that remain stable under occlusions, viewpoint changes and scene variations. Existing vision-language-action models ofte…