Industrial Robotics

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Overview

Industrial robotics studies how robots can perform factory work such as assembly, machine tending, surface finishing, disassembly, and warehouse transport, often alongside people. Methods range from classical motion and force control, optimization, and safety monitoring to reinforcement learning, imitation learning, vision-language models, and digital twins. Benchmarks such as RoCo, WireCraft, LIBERO-Industry, and LABIT test collaboration, cable handling, production constraints, and long assembly sequences. A central challenge is turning capable demonstrations into reliable deployment despite changing parts and environments, contact uncertainty, tight cycle times, and strict safety requirements.

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67 papers7 papers in the last four weeks, up 17% on the four weeks before. 0.0% of all new papers.

  1. From Transportation to Manipulation: Transforming Magnetic Levitation to Magnetic Robotics

    Mar 2, 2026Lara Bergmann, Noah Greis, Klaus NeumannRoboticsRobotic Manipulation

    CITEC, Faculty of Technology, Bielefeld University, 33619 Bielefeld, Germany · Fraunhofer IOSB-INA, 32657 Lemgo, Germany

  2. Evolution of Safety Requirements in Industrial Robotics: Comparative Analysis of ISO 10218-1/2 (2011 vs. 2025) and Integration of ISO/TS 15066

    Feb 19, 2026Daniel Hartmann, Kristýna Hamříková, Aleš Vysocký +2Robot SafetyIndustrial Robotics

  3. Smooth trajectory generation and hybrid B-splines-Quaternions based tool path interpolation for a 3T1R parallel kinematic milling robot

    Feb 18, 2026Sina Akhbari, Mehran MahboubkhahTrajectory GenerationRobotics

    Intelligent Automation Centre, Wolfson School of Mechanical, Electrical & Manufacturing Engineering, Loughborough University, Loughborough, UK · Department of Mechanical Engineering, University of Tabriz, 51666-16471, Tabriz, Iran

  4. Image Measurement Method for Automatic Insertion of Forks into Inclined Pallet

    Feb 18, 2026Nobuyuki Kita, Takuro KatoRobotic InsertionIndustrial Robotics

    TICO-AIST Cooperative Research Laboratory for Advanced Logistics, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan

  5. ICP-Based Pallet Tracking for Unloading on Inclined Surfaces by Autonomous Forklifts

    Feb 18, 2026Takuro Kato, Mitsuharu MorisawaIndustrial RoboticsRobotic Manipulation

    T.Kato and M.Morisawa are with TICO-AIST Cooperative Research Laboratory for Advanced Logistics, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan.

  6. VLM-DEWM: Dynamic External World Model for Verifiable and Resilient Vision-Language Planning in Manufacturing

    Feb 17, 2026Guoqin Tang, Qingxuan Jia, Gang Chen +4VLMs for RoboticsMemory-Augmented VLMs

    School of Intelligent Engineering and Automation, Beijing University of Posts and Telecommunications, Beijing, 100876, China

  7. Improving dependability in robotized bolting operations

    Nov 13, 2025Lorenzo Pagliara, Vincenzo Petrone, Violeta Redondo +3Industrial RoboticsRobotic Assembly

    Department of Information Engineering, Electrical Engineering and Applied Mathematics (DIEM), University of Salerno, Via Giovanni Paolo II, 132, Fisciano, 84084, Italy · GTD Science, Infrastructures & Robotics, Av. Leonardo Da Vinci, 2, Madrid, 28906, Spain · Universidad Politécnica de Madrid, Centre for Automation and Robotics (CAR) UPM-CSIC, José Gutiérrez Abascal, 2, Madrid, 28006, Spain