most citedGRaD-Nav++: Vision-Language Model Enabled Visual Drone Navigation with Gaussian Radiance Fields and Differentiable Dynamics

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

collaborators

6 papers

cs.RO2026

Pose-Agnostic Robotic Functional Grasping via Observation-Action Canonicalization

Le Qiu, Cole Harrison, Jiankai Sun +5

Functional robotic grasping requires a policy that generalizes across diverse object geometries and poses while maintaining task-specific contact precision. We study this challenge…

cs.RO2026

SARM2: Multi-Task Stage Aware Reward Modeling for Self Improving Robotic Manipulation

Qianzhong Chen, Hau Zheng, Justin Yu +8

Fine-tuning vision-language-action (VLA) policies for long-horizon manipulation still relies heavily on behavior cloning, which requires costly high-quality demonstrations and keep…

cs.RO20261 cited

GRaD-Nav++: Vision-Language Model Enabled Visual Drone Navigation with Gaussian Radiance Fields and Differentiable Dynamics

Qianzhong Chen, Naixiang Gao, Suning Huang +4

Autonomous drones capable of interpreting and executing high-level language instructions in unstructured environments remain a long-standing goal. Yet existing approaches are const…

cs.RO2026

Breaking Lock-In: Preserving Steerability under Low-Data VLA Post-Training

Suning Huang, Jiaqi Shao, Ke Wang +5

Have you ever post-trained a generalist vision-language-action (VLA) policy on a small demonstration dataset, only to find that it stops responding to new instructions and is limit…

cs.CL2025

Benchmarking the Thinking Mode of Multimodal Large Language Models in Clinical Tasks

Jindong Hong, Tianjie Chen, Lingjie Luo +10

A recent advancement in Multimodal Large Language Models (MLLMs) research is the emergence of "reasoning MLLMs" that offer explicit control over their internal thinking processes (…

cs.RO2025

ParticleFormer: A 3D Point Cloud World Model for Multi-Object, Multi-Material Robotic Manipulation

Suning Huang, Qianzhong Chen, Xiaohan Zhang +2

3D world models (i.e., learning-based 3D dynamics models) offer a promising approach to generalizable robotic manipulation by capturing the underlying physics of environment evolut…