Assessing generalizability in deep reinforcement learning based assembly: a comprehensive review

L Kolb, M Panzer, N Gronau - Journal of Intelligent Manufacturing, 2024 - Springer
The increasing complexity of production environments and fluctuations in short-term
demand requires adaptive and robust processes. To cope with the inherent challenges …

A Task-Adaptive Deep Reinforcement Learning Framework for Dual-Arm Robot Manipulation

Y Cui, Z Xu, L Zhong, P Xu, Y Shen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Closed-chain manipulation occurs when several robot arms perform tasks in cooperation. It
is complex to control a dual-arm system because it requires flexible and adaptable operation …

DA-VIL: Adaptive Dual-Arm Manipulation with Reinforcement Learning and Variable Impedance Control

MF Karim, S Bollimuntha, MS Hashmi, A Das… - arxiv preprint arxiv …, 2024 - arxiv.org
Dual-arm manipulation is an area of growing interest in the robotics community. Enabling
robots to perform tasks that require the coordinated use of two arms, is essential for complex …

Digital twin-enabled multi-robot system for collaborative assembly of unorganized parts

KH Oo, P Koomsap, DHN Ayutthaya - Journal of Industrial Information …, 2025 - Elsevier
Agility and flexibility in production are essential to meet the challenge of the demand surge
for diverse personalized products that come in small volumes. Automatic assembly is one …

A real-time collision avoidance method for redundant dual-arm robots in an open operational environment

Y Wu, X Jia, T Li, J Liu - Robotics and Computer-Integrated Manufacturing, 2025 - Elsevier
Due to the structural resemblance of redundant dual-arm robots to human arms, they are
widely employed to replace humans in open operational environments. Addressing safety …

DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning

Z Gao, Y Mu, J Qu, M Hu, L Guo, P Luo, Y Lu - arxiv preprint arxiv …, 2024 - arxiv.org
Dual-arm robots offer enhanced versatility and efficiency over single-arm counterparts by
enabling concurrent manipulation of multiple objects or cooperative execution of tasks using …

Human skill knowledge guided global trajectory policy reinforcement learning method

Y Zang, P Wang, F Zha, W Guo, C Li… - Frontiers in …, 2024 - frontiersin.org
Traditional trajectory learning methods based on Imitation Learning (IL) only learn the
existing trajectory knowledge from human demonstration. In this way, it can not adapt the …

[PDF][PDF] Toward Enabling Robotic Visual Perception for Assembly Tasks

H Wang - 2024 - research.chalmers.se
Industry faces an urgent need for prospective solutions to scale up assembly automation, a
challenge that requires immediate attention. In contemporary manufacturing, industrial …

[LIVRE][B] Toward Enabling Robotic Visual Perception for Assembly Tasks an Application in Wire Harness Assembly Onto Electric Vehicles

H Wang - 2024 - search.proquest.com
Industry faces an urgent need for prospective solutions to scale up assembly automation, a
challenge that requires immediate attention. In contemporary manufacturing, industrial …