activity
20222025
most citedGeneralizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

SAM2Grasp: Resolve Multi-modal Grasping via Prompt-conditioned Temporal Action Prediction

Shengkai Wu, Jinrong Yang, Wenqiu Luo +7

Imitation learning for robotic grasping is often plagued by the multimodal problem: when a scene contains multiple valid targets, demonstrations of grasping different objects creat…

cs.RO2025

Sim-to-Real Dynamic Object Manipulation on Conveyor Systems via Optimization Path Shaping

Zhuoling Li, Jinrong Yang, Yong Zhao +4

Realizing generalizable dynamic object manipulation on conveyor systems is important for enhancing manufacturing efficiency, as it eliminates specialized engineering for different…

cs.RO2025

Bootstrapping Imitation Learning for Long-horizon Manipulation via Hierarchical Data Collection Space

Jinrong Yang, Kexun Chen, Zhuoling Li +9

Imitation learning (IL) with human demonstrations is a promising method for robotic manipulation tasks. While minimal demonstrations enable robotic action execution, achieving high…

cs.RO2024

VIP: Vision Instructed Pre-training for Robotic Manipulation

Zhuoling Li, Liangliang Ren, Jinrong Yang +5

The effectiveness of scaling up training data in robotic manipulation is still limited. A primary challenge in manipulation is the tasks are diverse, and the trained policy would b…

cs.CV2022★ 2 cited

Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation

En Yu, Songtao Liu, Zhuoling Li +4

Although existing multi-object tracking (MOT) algorithms have obtained competitive performance on various benchmarks, almost all of them train and validate models on the same domai…