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20242026
most citedMini-Omni-Reasoner: Token-Level Thinking-in-Speaking in Large Speech Models

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

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cs.CV2026

Event Cameras versus Frame Cameras for Synthetic-Aperture Imaging: A Simulation Study

Jakob Hinterholzer, Mohamed Youssef, Oliver Bimber

Synthetic-aperture imaging (SAI) removes occluders such as foliage by integrating many views of a scene along a camera path. It has so far been used mainly with frame cameras. We a…

cs.RO2026

Interaction Latents as Actions for Contact-Rich Manipulation

Yuhang Zheng, Yujie Zang, Yuchen Liu +9

Contact-rich manipulation requires robots to coordinate not only where to move, but also how contact and force should evolve throughout an interaction. Yet most robot policies repr…

cs.RO2026

Contact Trajectory Prompting: In-Context Transfer of Contact-Rich Behaviors from a Single Demonstration

Xian Nie, Yujie Zang, Yuhang Zheng +8

In-context robot learning enables robots to acquire new behaviors from demonstrations without test-time parameter updates. However, visual and kinematic specifications alone may no…

cs.RO2026

UMI-WM: Interactive World Modeling for Bimanual Manipulation from Wrist Cameras

Jingxiang Guo, Haoyu Zhao, Xidong Zhang +6

Universal Manipulation Interface (UMI) pairs wrist-camera videos with camera trajectories and gripper openings, providing scalable, robot-free data for learning how bimanual action…

cs.RO2026

GIFT: Guided Intermediate Feature Training via Action-Oriented Structural Supervision for Robotic Manipulation

Yupeng Zheng, Xiang Li, Songen Gu +11

Vision-language pre-training and predictive world modeling provide robot policies with rich semantic and dynamic visual features, but their native action and visual-prediction obje…

cs.RO2026

Dual Latent Memory in Vision-Language-Action Models for Robotic Manipulation

Hongyu Qu, Jianzhe Gao, Xiaobin Hu +6

Mainstream Vision-Language-Action (VLA) models predict actions primarily from the current observation under a Markovian assumption, thus struggling with long-horizon, temporally de…

cs.RO2026

TacForeSight: Force-Guided Tactile World Model for Contact-Rich Manipulation

Yujie Zang, Yuhang Zheng, Xian Nie +7

Contact-rich manipulation requires robots to continuously perceive and regulate evolving physical interactions under dynamic contact transitions or complex surface geometries. Rece…

cs.RO2026

GE-Sim 2.0: A Roadmap Towards Comprehensive Closed-loop Video World Simulators for Robotic Manipulation

Boxiang Qiu, Liliang Chen, Yue Liao +12

We introduce GE-Sim 2.0 (Genie Envisioner World Simulator 2.0), a closed-loop video world simulator for robotic manipulation. Building on the action-conditioned video generation fr…

cs.RO2026

OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robotic Manipulation

Yuhang Zheng, Songen Gu, Yupeng Zheng +11

Contact-rich manipulation tasks, such as wiping and assembly, require accurate perception of contact forces, friction changes, and state transitions that cannot be reliably inferre…