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Shishun Zhang

4 accepted papers

2026

Learning Flexible Job Shop Scheduling under Limited Buffers and Material Kitting Constraints

ICRA 2026poster

The Flexible Job Shop Scheduling Problem (FJSP) originates from real production lines, while some practical constraints are often ignored or idealized in current FJSP studies, among which the limited buffer problem has a particular impact on production efficiency. To this end, we study an extended p…

2024

Learning Cross-hand Policies of High-DOF Reaching and Grasping

ECCV 2024poster

"Reaching-and-grasping is a fundamental skill for robotic manipulation, but existing methods usually train models on a specific gripper and cannot be reused on another gripper. In this paper, we propose a novel method that can learn a unified policy model that can be easily transferred to different…

Cited by 3SourcePDFScholar
2024

Learning Dual-arm Object Rearrangement for Cartesian Robots

ICRA 2024poster

This work focuses on the dual-arm object rearrangement problem abstracted from a realistic industrial scenario of Cartesian robots. The goal of this problem is to transfer all the objects from sources to targets with the minimum total completion time. To achieve the goal, the core idea is to develop…

Cited by 0SourceScholar
2024

Synchronized Dual-arm Rearrangement via Cooperative mTSP

ICRA 2024poster

Synchronized dual-arm rearrangement is widely studied as a common scenario in industrial applications. It often faces scalability challenges due to the computational complexity of robotic arm rearrangement and the high-dimensional nature of dual-arm planning. To address these challenges, we formulat…

Cited by 0SourceScholar