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cs.RO2026

FT-WBC: Learning Fault-Tolerant Whole-Body Control for Legged Loco-Manipulation

Yudong Zhong, Pengfei Mai, Sikai Guo +6

Legged manipulators combine the mobility of legged platforms with the manipulation capability of robotic arms. However, arm-induced Center-of-Mass shifts and dynamic disturbances m…

cs.RO2026

CoRDE: Concept-Prior Routed Diffusion Experts for Structural Generalization in Robot Manipulation

Haidong Huang, Xixin Zhao, Yaohua Zhou +5

Diffusion models excel at capturing multi-modal action distributions in robot imitation learning. However, in multi-task and long-horizon scenarios, monolithic architectures lack s…

cs.RO2026

LAGO Policy: Latency-Aware Asynchronous Diffusion Policies with Goal-Directed Collision-Free Planning for Smooth Manipulation

Guowei Shi, Xupeng Xie, Yiming Luo +3

Diffusion-based visuomotor policies deployed with asynchronous inference often exhibit inter-chunk discontinuities and lack explicit mechanisms for obstacle-aware execution, leadin…

cs.RO2026

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving

Chengzhen Meng, Pei Liu, Zhiyu Huang +2

Complex, dynamic, and interactive driving environments pose significant challenges for autonomous driving, primarily due to the pervasive uncertainty of surrounding traffic. A fund…

cs.RO2026

GeoSem-WAM: Geometry- and Semantic-Aware World Action Models

Fulong Ma, Daojie Peng, Wenjun Yue +4

Recent World Action Models (WAMs) have demonstrated impressive capabilities in embodied decision-making. However, whether their effectiveness stems from explicit future imagination…

cs.RO2025

PlanScope: Learning to Plan Within Decision Scope for Urban Autonomous Driving

Ren Xin, Jie Cheng, Hongji Liu +1

In the context of urban autonomous driving, imitation learning-based methods have shown remarkable effectiveness, with a typical practice to minimize the discrepancy between expert…