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20242026
most citedExploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation

1 citations · 2 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

PanoFuse: Panorama-Enhanced Vision-Language-Action Learning with Decoupled Semantic-Geometric Routing

Peng Xu, Haoran Lin, Wanjun Jia +4

Vision-Language-Action (VLA) policies have shown promising performance in language-conditioned robotic manipulation. However, most existing VLA systems rely on conventional perspec…

cs.RO2026

TONAV: Task-Oriented Navigation and Action-Velocity Chunk Learning for Articulated Object Quadrupedal Mobile Manipulation

Haoran Lin, Mingyu Yang, Pengfei Qi +6

Quadruped mobile manipulation requires two tightly coupled capabilities: reaching manipulation-ready configurations and maintaining stable contact throughout articulated-object int…

cs.RO2026

DexPIE: Stable Dexterous Policy Improvement from Real-World Experience

Ruizhe Liao, Wenrui Chen, Liangji Zeng +4

Dexterous manipulation presents substantial challenges for imitation learning due to its high-dimensional action space and complex contact-rich dynamics. Policies trained purely fr…

cs.CV2026

Symmetry-Aware 9D Pose Estimation with Sim(3)-Consistent Feature and Spherical Inception Convolution

Panfei Cheng, Hongshan Yu, Wenrui Chen +3

Object pose estimation is a fundamental problem for an agent system to perceive or manipulate objects in images or videos. However, current instance-level methods struggle with gen…

cs.CV2026

BLaDA: Bridging Language to Functional Dexterous Actions within 3DGS Fields

Fan Yang, Wenrui Chen, Guorun Yan +7

In unstructured environments, functional dexterous grasping calls for the tight integration of semantic understanding, precise 3D functional localization, and physically interpreta…

cs.RO2026

TRACER: Texture-Robust Affordance Chain-of-Thought for Deformable-Object Region Grounding

Wanjun Jia, Kang Li, Fan Yang +7

The central challenge in robotic manipulation of deformable objects lies in aligning high-level semantic instructions with physical interaction points under complex appearance and…

cs.CV2026

Learning Fine-Grained Correspondence with Cross-Perspective Perception for Open-Vocabulary 6D Object Pose Estimation

Yu Qin, Shimeng Fan, Fan Yang +5

Open-vocabulary 6D object pose estimation empowers robots to manipulate arbitrary unseen objects guided solely by natural language. However, a critical limitation of existing appro…