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20242026
most citedE2H: A Two-Stage Non-Invasive Neural Signal Driven Humanoid Robotic Whole-Body Control Framework

1 citations · 3 across the 20 of their papers we have counts for

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cs.RO2026

STRIDER: Stepping-Enabled Multi-Gait Hierarchical 3D Loco-Manipulation Framework for Humanoid Robots

Yuanzhuo Li, Wen Zhao, Zhe Yong +6

Humanoid loco-manipulation faces two prominent limitations: controllers using continuous velocity commands cannot precisely regulate individual footholds, while specialized foothol…

cs.RO2026

SOLO: Stable Omni-terrain Long-Horizon Perceptive Humanoid Locomotion

Pihai Sun, Gang Han, Jingkai Sun +17

Humans traverse complex terrain over long distances without losing balance, whereas perceptive humanoid policies become fragile as perception and control errors accumulate. We pres…

cs.RO2026

RobotPan: A 360 Surround-View Robotic Vision System for Embodied Perception

Jiahao Ma, Qiang Zhang, Peiran Liu +11

Surround-view perception is increasingly important for robotic navigation and loco-manipulation, especially in human-in-the-loop settings such as teleoperation, data collection, an…

cs.RO2026

Heracles: Bridging Precise Tracking and Generative Synthesis for General Humanoid Control

Zelin Tao, Zeran Su, Peiran Liu +13

Achieving general-purpose humanoid control requires a delicate balance between the precise execution of commanded motions and the flexible, anthropomorphic adaptability needed to r…

cs.RO2026

MeshMimic: Geometry-Aware Humanoid Motion Learning through 3D Scene Reconstruction

Qiang Zhang, Jiahao Ma, Peiran Liu +20

Humanoid motion control has witnessed significant breakthroughs in recent years, with deep reinforcement learning (RL) emerging as a primary catalyst for achieving complex, human-l…