activity
20162024
most citedA Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics

11 citations · 26 across the 24 of their papers we have counts for

collaborators

24 papers

cs.RO20243 cited

POMDP-Guided Active Force-Based Search for Robotic Insertion

Chen Wang, Haoxiang Luo, Kun Zhang +3

In robotic insertion tasks where the uncertainty exceeds the allowable tolerance, a good search strategy is essential for successful insertion and significantly influences efficien…

cs.RO20242 cited

Learning to Change: Choreographing Mixed Traffic Through Lateral Control and Hierarchical Reinforcement Learning

Dawei Wang, Weizi Li, Lei Zhu +1

The management of mixed traffic that consists of robot vehicles (RVs) and human-driven vehicles (HVs) at complex intersections presents a multifaceted challenge. Traditional signal…

cs.CV2024

NetTrack: Tracking Highly Dynamic Objects with a Net

Guangze Zheng, Shijie Lin, Haobo Zuo +2

The complex dynamicity of open-world objects presents non-negligible challenges for multi-object tracking (MOT), often manifested as severe deformations, fast motion, and occlusion…

cs.RO2024

Revolutionizing Packaging: A Robotic Bagging Pipeline with Constraint-aware Structure-of-Interest Planning

Jiaming Qi, Peng Zhou, Pai Zheng +4

Bagging operations, common in packaging and assisted living applications, are challenging due to a bag's complex deformable properties. To address this, we develop a robotic system…

cs.CV2024

Neuromorphic Synergy for Video Binarization

Shijie Lin, Xiang Zhang, Lei Yang +5

Bimodal objects, such as the checkerboard pattern used in camera calibration, markers for object tracking, and text on road signs, to name a few, are prevalent in our daily lives a…

cs.RO2023

Large-scale Mixed Traffic Control Using Dynamic Vehicle Routing and Privacy-Preserving Crowdsourcing

Dawei Wang, Weizi Li, Jia Pan

Controlling and coordinating urban traffic flow through robot vehicles is emerging as a novel transportation paradigm for the future. While this approach garners growing attention…