most citedMultimodal Fusion and Vision-Language Models: A Survey for Robot Vision

33 citations · 33 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2026

UniOPSD: Unifying Outcome and Hindsight Feedback for Agentic Reinforcement Learning

Zenghuang Fu, Zhaoyang Li, Qiuyuan Ai +8

Reinforcement learning has become an effective approach to training language model agents, but sparse and delayed outcome rewards provide limited guidance for credit assignment acr…

cs.AI2026

SIPO: Selective-Inference Policy Optimization for Tree-Structured Agentic RL

Zenghuang Fu, Ningqi Chen, Mingda Jia +10

Tree-structured reinforcement learning trains search agents by comparing alternative continuations and propagating terminal rewards to intermediate decisions. Adaptive expansion, h…

cs.RO2026

HMR-1: Hierarchical Massage Robot with Vision-Language-Model for Embodied Healthcare

Rongtao Xu, Mingming Yu, Xiaofeng Han +7

The rapid advancement of Embodied Intelligence has opened transformative opportunities in healthcare, particularly in physical therapy and rehabilitation. However, critical challen…

eess.SY2025

DMTrack: Deformable State-Space Modeling for UAV Multi-Object Tracking with Kalman Fusion and Uncertainty-Aware Association

Zenghuang Fu, Xiaofeng Han, Mingda Jia +6

Multi-object tracking (MOT) from unmanned aerial vehicles (UAVs) presents unique challenges due to unpredictable object motion, frequent occlusions, and limited appearance cues inh…

cs.RO2025★ 33 cited

Multimodal Fusion and Vision-Language Models: A Survey for Robot Vision

Xiaofeng Han, Shunpeng Chen, Zenghuang Fu +9

Robot vision has greatly benefited from advancements in multimodal fusion techniques and vision-language models (VLMs). We adopt a task-oriented perspective to systematically revie…