most citedBenchmarking the Thinking Mode of Multimodal Large Language Models in Clinical Tasks

1 citations · 2 across the 6 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.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★ 1 cited

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…

cs.RO2025★ 1 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…