most citedRoboDexVLM: Visual Language Model-Enabled Task Planning and Motion Control for Dexterous Robot Manipulation

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cs.RO2026

AERR-Nav: Adaptive Exploration-Recovery-Reminiscing Strategy for Zero-Shot Object Navigation

Jingzhi Huang, Junkai Huang, Haoyang Yang +2

Zero-Shot Object Navigation (ZSON) in unknown multi-floor environments presents a significant challenge. Recent methods, mostly based on semantic value greedy waypoint selection, s…

cs.RO2026

PNav: End-to-End Perception, Prediction and Planning for Vision-and-Language Navigation

Tianfu Li, Wenbo Chen, Haoxuan Xu +2

In Vision-and-Language Navigation (VLN), an agent is required to plan a path to the target specified by the language instruction, using its visual observations. Consequently, preva…

cs.RO2026

OmniDP: Beyond-FOV Large-Workspace Humanoid Manipulation with Omnidirectional 3D Perception

Pei Qu, Zheng Li, Yufei Jia +5

The deployment of humanoid robots for dexterous manipulation in unstructured environments remains challenging due to perceptual limitations that constrain the effective workspace.…

cs.RO2026

Rethinking the Practicality of Vision-language-action Model: A Comprehensive Benchmark and An Improved Baseline

Wenxuan Song, Jiayi Chen, Xiaoquan Sun +12

Vision-Language-Action (VLA) models have emerged as a generalist robotic agent. However, existing VLAs are hindered by excessive parameter scales, prohibitive pre-training requirem…

cs.RO2026

Dream-SLAM: Dreaming the Unseen for Active SLAM in Dynamic Environments

Xiangqi Meng, Pengxu Hou, Zhenjun Zhao +4

In addition to the core tasks of simultaneous localization and mapping (SLAM), active SLAM additionally in- volves generating robot actions that enable effective and efficient expl…

cs.RO2025

Embracing Bulky Objects with Humanoid Robots: Whole-Body Manipulation with Reinforcement Learning

Chunxin Zheng, Kai Chen, Zhihai Bi +5

Whole-body manipulation (WBM) for humanoid robots presents a promising approach for executing embracing tasks involving bulky objects, where traditional grasping relying on end-eff…