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20242026
most citedA Survey of Embodied Learning for Object-Centric Robotic Manipulation

16 citations · 28 across the 9 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.RO2026

UniLAP: A Unified Latent Action Policy for Cross-Embodiment Manipulation

Lei Yao, Qiao Feng, Mutian Tong +3

Latent Action Models (LAMs) can capture manipulation priors from action-free videos, but discrete latents usually impose a granularity bottleneck, limiting their ability to represe…

cs.CV2026

EARL: Towards a Unified Analysis-Guided Reinforcement Learning Framework for Egocentric Interaction Reasoning and Pixel Grounding

Yuejiao Su, Xinshen Zhang, Zhen Ye +3

Understanding human--environment interactions from egocentric vision is essential for assistive robotics and embodied intelligent agents, yet existing multimodal large language mod…

cs.CV2026

HAMMER: Harnessing MLLM via Cross-Modal Integration for Intention-Driven 3D Affordance Grounding

Lei Yao, Yong Chen, Yuejiao Su +3

Humans commonly identify 3D object affordance through observed interactions in images or videos, and once formed, such knowledge can be generically generalized to novel objects. In…

cs.RO2026

IGV-RRT: Prior-Real-Time Observation Fusion for Active Object Search in Changing Environments

Wei Zhang, Ping Gong, Yujie Wang +7

Object Goal Navigation (ObjectNav) in temporally changing indoor environments is challenging because object relocation can invalidate historical scene knowledge. To address this is…

cs.CV2026

Interaction-aware Representation Modeling with Co-occurrence Consistency for Egocentric Hand-Object Parsing

Yuejiao Su, Yi Wang, Lei Yao +2

A fine-grained understanding of egocentric human-environment interactions is crucial for developing next-generation embodied agents. One fundamental challenge in this area involves…

cs.CV2026

LaSSM: Efficient Semantic-Spatial Query Decoding via Local Aggregation and State Space Models for 3D Instance Segmentation

Lei Yao, Yi Wang, Yawen Cui +2

Query-based 3D scene instance segmentation from point clouds has attained notable performance. However, existing methods suffer from the query initialization dilemma due to the spa…