most citedQuattro: Transformer-Accelerated Iterative Linear Quadratic Regulator Framework for Fast Trajectory Optimization

1 citations · 1 across the 4 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Local Reference Geometry Residual Augmentation for Imbalanced Time Series Classification

Chuanhang Qiu, Yanran Xu, Yue Wang +1

Imbalanced time series classification is often addressed by changing the training distribution, objective, logits, or final threshold. These interventions address important biases,…

cs.RO2026

GAFT: Geo-Anchored Fine-Tuning for Hazard Identification from Rare Failures

Yanran Xu, Chuanhang Qiu, Yue Wang +2

Off-road navigation can fail when physical structures induce irrecoverable states such as high-centering or entrapment, requiring human interventions. Identifying these structures…

cs.RO2026

RoboDream: Compositional World Models for Scalable Robot Data Synthesis

Junjie Ye, Rong Xue, Basile Van Hoorick +6

Scaling robot learning requires large-scale, diverse demonstrations, yet real-world data collection via teleoperation remains prohibitively expensive and time-consuming. While vide…

cs.RO2026

Batched Differentiable Rigid Body Dynamics in PyTorch for GPU-Accelerated Robot Learning

Yue Wang, Yanran Xu, Wenbo Wu +2

As robot control shifts toward large-scale reinforcement learning with in-loop dynamics computation, the community's reliance on CPU-bound libraries such as Pinocchio creates a thr…

cs.RO2025

SPARC: Spine with Prismatic And Revolute Compliance for Faster Quadrupedal Bounding

Yue Wang, Yanran Xu

Quadruped mammals coordinate sagittal spinal bending with axial extension and compression during dynamic locomotion. Yet most robotic quadrupeds use rigid trunks, passively complia…

cs.RO2025

HMCF: A Human-in-the-loop Multi-Robot Collaboration Framework Based on Large Language Models

Zhaoxing Li, Wenbo Wu, Yue Wang +3

Rapid advancements in artificial intelligence (AI) have enabled robots to performcomplex tasks autonomously with increasing precision. However, multi-robot systems (MRSs) face chal…