Ilya Tyapin

• Bilal, Muhammad Talha; Tyapin, Ilya & Choux, Martin Marie Hubert (2023). Fusion of Multiview Images for EV Battery Disassembly. In Zhou, Jing (Eds.), 2023 11th International Conference on Control, Mechatronics and Automation (ICCMA). IEEE conference proceedings. ISSN 979-8-3503-1568-4. p. 19–24. doi: 10.1109/ICCMA59762.2023.10374794. Show summary

  Automation in Electric Vehicle (EV) Li-Ion Battery (LIB) pack disassembly is getting a lot of attraction with increased number of EVs being manufactured. Highly cluttered components placed in complex configurations present a unique challenge for object detection models. To get maximum coverage of the components in the EV battery pack, images from multiple viewpoints are considered and merged using Multiple-View Super Resolution (MVSR). The proposed method provides 7% higher accuracy in the screw detection task than the statistical methods previously derived [[1]].

• Bilal, Muhammad Talha; Tyapin, Ilya & Choux, Martin Marie Hubert (2022). Enhancing Object Localization Accuracy by using Multiple Camera Viewpoints for Disassembly Systems, IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-6654-8025-3. doi: 10.1109/IECON49645.2022.9968575. Show summary

  The number of images taken from different view-points plays an important role in the accuracy of object detection in cluttered scenarios. Considering Electric Vehicles battery pack disassembly task, which is a highly dense clutter, a framework is proposed to approximate the number of viewpoints to acquire the accuracy of 3.82 mm in screw detection. The paper explores two methods of image acquisition i) taking multiple 3D images, and ii) taking one 3D image and multiple 2D images and combines it with two methods of image processing i) marking the exact visible center of the screw for calculation, and ii) using a bounding box to mark the screw and calculating the center by intersecting diagonals. The results show that using eight viewpoints with a reliable 3D camera delivers the optimal results.

• Singh, Jayant; Zhou, Jing; Beferull-Lozano, Baltasar & Tyapin, Ilya (2022). Learning Cooperative Multi-Agent Policies with Multi-Channel Reward Curriculum Based Q-Learning. Proceedings of the Annual Conference of the IEEE Industrial Electronics Society (IECON). ISSN 1553-572X. doi: 10.1109/IECON49645.2022.9969046.
• Subedi, Dipendra; Tyapin, Ilya & Hovland, Geir (2022). Control of Redundant Flexible Manipulators with Redundancy Resolution. In IEEE, . (Eds.), The 8th International Conference on Mechatronics and Robotics Engineering (ICMRE). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-6654-8377-3. p. 116–121. doi: 10.1109/ICMRE54455.2022.9734097. Full text in Research Archive Show summary

  This paper deals with the online control of a redundant flexible link manipulator to achieve minimum oscillations using the redundancy resolution technique. Different redundancy resolution techniques proposed and used for rigid link manipulators are tested for their use in the case of flexible link manipulators. The simulation model of a planar three-link flexible manipulator is used in this study. The redundancy resolution using kinetic energy minimization techniques is compared with the local joint acceleration minimization method to show the advantage of achieving minimum vibrations. Keywords—Elasticity, flexibility, redundant manipulator, redundancy resolution, vibration, optimization.

• Subedi, Dipendra; Aune, Teodor N.; Tyapin, Ilya & Hovland, Geir (2022). Static Deflection Compensation of Multi-Link Flexible Manipulators Under Gravity. IEEE Access. ISSN 2169-3536. 10, p. 9658–9667. doi: 10.1109/ACCESS.2022.3144404. Full text in Research Archive Show summary

  The static deflection compensation method of a planar multi-link flexible manipulator is proposed using the feedback from inertial sensors mounted at the tip of each link. The proposed compensation technique is validated experimentally using a high-precision laser tracker. The proposed strategy is experimentally verified using a three-link flexible manipulator. A strategy to compensate for the centripetal and tangential acceleration induced on the accelerometer mounted on the rotating link is proposed for correct inclination estimation. The improvement in the inclination estimation using the proposed compensation technique is verified both in simulation and experimental studies.

• Choux, Martin Marie Hubert; Bigorra, Eduard Marti & Tyapin, Ilya (2021). Task Planner for Robotic Disassembly of Electric Vehicle Battery Pack. Metals. ISSN 2075-4701. 11(3). doi: 10.3390/met11030387. Full text in Research Archive
• Jakobsen, Mette Mo; Tørdal, Sondre Sanden; Klausen, Andreas; Robbersmyr, Kjell Gunnar & Tyapin, Ilya (2021). Product development and project-based learning in Mechatronics, in the context of digitization and sustainability. Nordic Journal of STEM Education. ISSN 2535-4574. 5(1). doi: 10.5324/njsteme.v5i1.3946.
• Subedi, Dipendra; Tyapin, Ilya & Hovland, Geir (2021). Dynamic Modeling of Planar Multi-Link Flexible Manipulators. Robotics. ISSN 2218-6581. 10(2). doi: 10.3390/robotics10020070. Full text in Research Archive Show summary

  A closed-form dynamic model of the planar multi-link flexible manipulator is presented. The assumed modes method is used with the Lagrangian formulation to obtain the dynamic equations of motion. Explicit equations of motion are derived for a three-link case assuming two modes of vibration for each link. The eigenvalue problem associated with the mass boundary conditions, which changes with the robot configuration and payload, is discussed. The time-domain simulation results and frequency-domain analysis of the dynamic model are presented to show the validity of the theoretical derivation.

• Jha, Ajit; Subedi, Dipendra; Løvsland, Per-Ove; Tyapin, Ilya; Cenkeramaddi, Linga Reddy & Beferull-Lozano, Baltasar [Show all 7 contributors for this article] (2020). Autonomous mooring towards autonomous maritime navigation and offshore operations, 15th IEEE Conference on Industrial Electronics and Applications. Institute of Electrical and Electronics Engineers (IEEE). ISSN 978-1-7281-5168-7. p. 1171–1175. doi: 10.1109/ICIEA48937.2020.9248169. Full text in Research Archive
• Subedi, Dipendra; Tyapin, Ilya & Hovland, Geir (2020). Review on Modeling and Control of Flexible Link Manipulators. MIC Journal: Modeling, Identification and Control. ISSN 0332-7353. 41(3), p. 141–163. doi: 10.4173/mic.2020.3.2. Full text in Research Archive
• Subedi, Dipendra; Jha, Ajit; Tyapin, Ilya & Hovland, Geir (2020). Camera-LiDAR Data Fusion for Autonomous Mooring Operation. IEEE Conference on Industrial Electronics and Applications. ISSN 2158-2297. p. 1176–1181. doi: 10.1109/ICIEA48937.2020.9248089. Full text in Research Archive
• Subedi, Dipendra; Tyapin, Ilya & Hovland, Geir (2020). Modeling and Analysis of Flexible Bodies Using Lumped Parameter Method. In Kuppuswamy, Ramesh (Eds.), Proceedings of the 2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies. IEEE (Institute of Electrical and Electronics Engineers). ISSN 9781728153322. doi: 10.1109/ICMIMT49010.2020.9041188. Show summary

  The modeling, identification and analysis of a flexible beam is presented. The lumped parameter method is used to model a flexible beam. The use of camera measurements to identify lumped parameters, namely spring stiffness and damping coefficient, is described. The measurements of the tip oscillations using a high-speed camera and high-precision laser tracker are compared. The static and dynamic behavior of the flexible beam model is compared to the experimental results to show the validity of the model.

• Tyapin, Ilya & Hovland, Geir (2018). Long Arm Manipulator Path Interpolation Using 4th Order B-Splines. In -, IEEE (Eds.), International Conference on Control, Automation and Systems (ICCAS), 18th. IEEE conference proceedings. ISSN 978-89-93215-16-8.
• Tyapin, Ilya; Berntsen, Kai Egil & Bertheussen, André (2018). Combined Stiffness Identification of 6-DoF Industrial Robot. In -, IEEE (Eds.), International Conference on Control, Automation and Systems (ICCAS), 18th. IEEE conference proceedings. ISSN 978-89-93215-16-8.
• Brunete, Alberto; Gambao, Ernesto; Koskinen, Jukka; Heikkila, Tapio; Kaldestad, Knut Berg & Tyapin, Ilya [Show all 11 contributors for this article] (2018). Hard material small-batch industrial machining robot. Robotics and Computer-Integrated Manufacturing. ISSN 0736-5845. 54, p. 185–199. doi: 10.1016/j.rcim.2017.11.004. Full text in Research Archive
• Sandberg, Marcus; Tyapin, Ilya; Kokkolaras, Michael; Lundbladh, Anders & Isaksson, Ola (2017). A knowledge-based master model approach exemplified with jet engine structural design. Computers in industry (Print). ISSN 0166-3615. 85, p. 31–38. doi: 10.1016/j.compind.2016.12.003.
• Tørdal, Sondre Sanden; Hovland, Geir Edvin & Tyapin, Ilya (2017). Efficient Implementation of Inverse Kinematics on a 6-DOF Industrial Robot using Conformal Geometric Algebra. Advances in Applied Clifford Algebras. ISSN 0188-7009. 27(3), p. 2067–2082. doi: 10.1007/s00006-016-0698-2. Show summary

  This paper presents an implementation of the inverse kinematics (IK) solution for an industrial robot based on Conformal Geometric Algebra where the correct signs of the joint angles are extracted using the multivector coefficients and applying the forward kinematics. The solution presented is twice as fast as traditional IK algorithms implemented using matrix algebra, and more than 45 times faster than the IK provided by the robot manufacturer. The proposed solution has been successfully demonstrated and benchmarked in a 3-DOF motion compensation experiment. In addition to being efficient the presented solution requires less matrix operations than for the traditional IK.

• Kaldestad, Knut Berg; Tyapin, Ilya & Hovland, Geir (2015). Robotic face milling path correction and vibration reduction, 2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM 2015). Curran Associates, Inc.. ISSN 9781467391085. p. 543–548. doi: 10.1109/AIM.2015.7222591.
• Tyapin, Ilya; Kaldestad, Knut Berg & Hovland, Geir (2015). Off-line path correction of robotic face milling using static tool force and robot stiffness, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015). Curran Associates, Inc.. ISSN 9781479999958. p. 5506–5511. doi: 10.1109/IROS.2015.7354157.
• Tyapin, Ilya; Hovland, Geir & Brogårdh, Torgny (2014). Method for Estimating Combined Controller, Joint and Link Stiffnesses of an Industrial Robot. In NN, NN (Eds.), 2014 IEEE International Symposium on Robotic and Sensors Environments (ROSE). Curran Associates, Inc.. ISSN 9781479949250. doi: 10.1109/ROSE.2014.6952974.
• Tyapin, Ilya; Hovland, Geir; Kosonen, Petri & Linna, Tarmo (2014). Identification of a Static Tool Force Model for Robotic Face Milling, 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications(MESA). IEEE (Institute of Electrical and Electronics Engineers). ISSN 9781479922802. doi: 10.1109/MESA.2014.6935591.
• Tyapin, Ilya & Hovland, Geir (2013). Kinematic calibration method for a 5-DOF Gantry-Tau parallel kinematic machine. IEEE International Conference on Robotics and Automation (ICRA). ISSN 1050-4729. p. 4665–4670. doi: 10.1109/ICRA.2013.6631241. Show summary

  In this paper a new step-wise approach to kinematic calibration of a 5-DOF Gantry-Tau parallel kinematic machine (PKM) is presented. The approach can be adapted to the modular design of the PKM and the calibration could easily perform part of the assembly instructions for the machine. By using measurements from a laser tracker and least-squares estimates of polynomial functions, a typical accuracy of about 20 micrometer was achieved for the base actuators. The remaining set of 30 general parameters for the hexapod link structure and spherical joint connections were successfully estimated using the Complex search-based evolutionary algorithm.

• Nguyen, Trinh Hoang; Prinz, Andreas; Friisø, Trond; Nossum, Rolf Tomas & Tyapin, Ilya (2013). A framework for data integration of offshore wind farms. Renewable Energy. ISSN 0960-1481. 60, p. 150–161. doi: 10.1016/j.renene.2013.05.002. Show summary

  Operation and maintenance play an important role in maximizing the yield and minimizing the downtime of wind turbines, especially offshore wind farms where access can be difficult due to harsh weather conditions for long periods. It contributes up to 25–30% to the cost of energy generation. Improved operation and maintenance (O&M) practices are likely to reduce the cost of wind energy and increase safety. In order to optimize the O&M, the importance of data exchange and knowledge sharing within the offshore wind industry must be realized. With more data available, it is possible to make better decisions, and thereby improve the recovery rates and reduce the operational costs. This article describes the development of a framework for data integration to optimize the remote operations of offshore wind farms.

• Choux, Martin Marie Hubert; Tyapin, Ilya & Hovland, Geir (2012). Extended friction model of a hydraulic actuated system, Reliability and Maintainability Symposium (RAMS), 2012 Proceedings. IEEE conference proceedings. ISSN 978-1-4577-1851-9. doi: 10.1109/rams.2012.6175517. Show summary

  The main contribution of this paper is an experimental validation and comparison of three different friction models for an electro-hydraulic servo system. The first is the wellknown LuGre model which incorporates dynamic friction effects. The second model is based on a relatively recent publication by Yanada in 2008 [6], which incorporates liquid film thickness in the servo valve. The third model is a new contribution presented in this paper, where valve underlap and mass acceleration are combined with the LuGre model. The experimental results show that for hydraulic systems, the film thickness model is an improvement over the LuGre model, while the new model presented in this paper is an improvement over both the LuGre and the film thickness models. An accurate friction model is an important tool for reliability engineers when distinguishing maintenance related degradation from dynamic effects.

• Choux, Martin Marie Hubert; Tyapin, Ilya & Hovland, Geir (2012). Leakage-detection in blade pitch control systems for wind turbines, Reliability and Maintainability Symposium (RAMS), 2012 Proceedings. IEEE conference proceedings. ISSN 978-1-4577-1851-9. doi: 10.1109/rams.2012.6175515. Show summary

  The main contribution of the work is a systematic study evaluating the performance of different filters for leakage detection in pitch control systems. The effectiveness of the proposed methods is examined in a Matlab/Simulink real-time environment. The test bed consists of the following elements: hydraulic power unit, servo valve, two leakage bypasses, hydraulic cylinder, payload and xPC-based control system. The filters are tested with the state-augmentation and the hypothesis testing approaches. To our knowledge, the comparison of these different approaches has not been done previously for this type of application. The paper concludes on the accuracy and sensitivity of the leakage detection as well as the computational complexity and the real-time performance.

• Haaø, Jørgen; Vangen, Steffen; Tyapin, Ilya; Choux, Martin Marie Hubert; Hovland, Geir & Hansen, Michael Rygaard (2012). The Effect of Friction in Passive and Active Heave Compensation of Crown Block Mounted Compensators. In Imsland, Lars Struen (Eds.), 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production : Norwegian University of Science and Technology 31.5-1.6 2012. Elsevier. ISSN 978-3-902661-99-9. doi: 10.3182/20120531-2-no-4020.00040. Show summary

  This paper studies the effects of friction model during passive and active heave compensation of offshore drilling equipment. The main purpose of heave compensation while drilling from vessels or semi-submersible platforms is to maintain the drilling operation unaffected by the wave induced motion. The investigated system is of an existing crown mounted compensator. A model of the system is developed which includes mechanics, hydraulics and pneumatics. The passive heave compensation scheme is described including force equalising hydraulic cylinders. In this paper the detrimental effect of friction on the heave compensation performance in both passive and active heave compensation is investigated and discussed.

• Kjelland, Magnus Berthelsen; Hansen, Michael Rygaard; Tyapin, Ilya & Hovland, Geir (2012). Tool-Point Control for a Redundant Heave Compensated Hydraulic Manipulator. In Imsland, Lars Struen (Eds.), 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production : Norwegian University of Science and Technology 31.5-1.6 2012. Elsevier. ISSN 978-3-902661-99-9. doi: 10.3182/20120531-2-no-4020.00034. Show summary

  In this paper, theoretical and experimental implementation of heave compensation on a redundant hydraulically actuated manipulator with 3-dof has been carried out. The redundancy is solved using the pseudo-inverse Jacobian method. Techniques for minimizing velocities and avoiding mechanical joint saturations is implemented in the null space joint motion. Model based feed-forward, combined with a PI-controller handles the velocity control of each joint.A time domain simulation model has been developed, experimentally verified, and used for controller parameter tuning. Model verification and experimental results are obtained while the manipulator is exposed to wave disturbances created in a dry environment by means of a Stewart platform.

• Kjelland, Magnus Berthelsen; Hansen, Michael Rygaard; Tyapin, Ilya & Hovland, Geir (2012). Tool-Point Control of a Planar Hydraulically Actuated Manipulator with Compensation of Non-Actuated Degree of Freedom, 2012 12th International Conference on Control, Automation and Systems, Proceedings. IEEE conference proceedings. ISSN 978-89-93215-04-5. p. 672–677. Show summary

  The current work is on motion control of a hydraulically actuated manipulator with a view to handle offshore payload transfer between moving frames. The manipulator has redundant actuation and also, a non-actuated degree of freedom. The motion control has two targets: tool point control and compensation of the non-actuated degree of freedom. The redundancy is handled by means of pseudo-inverse kinematics while optimizing a cost function, avoiding mechanical joint limits. The compensation of the un-actuated degree of freedom employs LQR control, minimizing position and velocity error while maintaining the tracking reference for the tool-point. The proposed control scheme is implemented and experimentally validated in a practical system where the manipulator is mounted on a Stewart platform that allows for the simulation of wave induced heave motion as a disturbance.

• Sandberg, Marcus; Tyapin, Ilya; Kokkolaras, Michael & Isaksson, Ola (2011). A knowledge-based master modeling approach to system analysis and design. In Howard, Thomas; Mougaard, Krestine; McAloone, Timothy Charles & Hansen, Claus Thorp (Ed.), Proceedings of the 18th International Conference on Engineering Design (ICED11), 15-18 Aug 2011. The Design Society. ISSN 978-1-904670-32-2. p. 347–356.
• Sandberg, Marcus; Tyapin, Ilya; Kokkolaras, Michael; Isaksson, Ola; Aidanpää, Jan-Olov & Larsson, Tobias (2011). A Knowledge-based Master-model Approach with Application to Rotating Machinery Design. Concurrent Engineering: Research and Applications (CERA). ISSN 1063-293X. 19(4), p. 295–305. doi: 10.1177/1063293X11424511. Show summary

  Novel rotating machinery design concepts and architectures are being explored to reduce mass, energy consumption, manufacturing costs, and environmental impact while increasing performance. As component manufacturers supply parts to original equipment manufacturers, it is desirable to design the components using a systems approach so that they are optimized for system-level performance. To accomplish that, suppliers must be able to model and predict the behavior of the whole machinery. Traditional computer-aided design/computer-aided engineering master-modeling approaches enable manual changes to be propagated to linked models. Novel knowledge-based master-modeling approaches enable automated coordination of multidisciplinary analyses. In this article, we present a specific implementation of such a knowledge-based master-modeling approach that facilitates multidisciplinary design optimization of rotating machinery. The master-model (MM) approach promotes the existence of a single governing version of the product definition as well as operating scenarios. Rules, scripts, and macros link the MM to domain-specific models. A simple yet illustrative industry application is presented, where rotor-dynamics and displacement analyses are performed to evaluate relocation alternatives for the rear bearing position of a rotating machinery under a ‘fan-blade-off’ load case.

• Tyapin, Ilya; Hovland, Geir & Jorde, Jørgen (2011). Comparison of Markov Theory and Monte Carlo Simulations for Analysis of Marine Operations Related to Installation of an Offshore Wind Turbine. In Singh, Maneesh; Raj B. K. N., Rao & Liyanage, Jayantha Prasanna (Ed.), Proceedings of the 24th International Congress on Condition Monitoring and Diagnostics Engineering Management (COMADEM2011). COMADEM International. ISSN 0-9541307-2-3. p. 1071–1081. Show summary

  This paper contains a comparison study of two different methods for estimating weather downtime and duration of marine operations related to the installation of bottom-fixed offshore wind turbines. The first method is based on numerical Monte Carlo simulations. The second method is based on an approach using Markov theory as published in (Anastasiou and Tsekos, 1996), and it differs from the Monte Carlo technique in that it establishes analytically, not through simulation, the probability distribution of the duration of the marine operations. Having established the probability distribution of individual activities in the operations scenario, the probability distribution of the duration of an entire marine operation is determined with the aid of the Probabilistic Network and Evaluation Technique (PNET), see (Ang et al., 1975). The combination of Markov theory and PNET provides a useful means for predicting the duration of a marine operation. Both activities which do and do not require a weather window are included in the analysis, as well as the possibility to execute activities as a combination of parallel and sequential operations. A comparison of the computational time efforts using the analytical approach and Monte Carlo simulation are presented in in this paper, where Markov theory based approach is several times faster than Monte Carlo simulations. The paper includes an illustrative example related to the installation process of bottom-fixed offshore wind turbines.. The sea state generator used in the example is based on observed weather data for the North Sea. The paper concludes with a summary of advantages and disadvantages of the two approaches based on Monte Carlo simulations and Markov Theory/PNET.

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• Robsrud, Didrik Nicolai; Ovsthus, Orjan; Muggerud, Lars; Amendola Netto Andrade, José; Cenkeramaddi, Linga Reddy & Tyapin, Ilya [Show all 7 contributors for this article] (2023). Lidar-mmW Radar Fusion for Safer UGV Autonomous Navigation with Collision Avoidance. In Zhou, Jing (Eds.), 2023 11th International Conference on Control, Mechatronics and Automation (ICCMA). IEEE conference proceedings. ISSN 979-8-3503-1568-4. doi: 10.1109/ICCMA59762.2023.10375017.
• Øvsthus, Ørjan; Robsrud, Didrik Nicolai; Muggerud, Lars; Amendola Netto Andrade, José; Cenkeramaddi, Linga Reddy & Tyapin, Ilya [Show all 7 contributors for this article] (2023). Mobile Robotic Manipulator Based Autonomous Warehouse Operations, 2023 The 11th International Conference on Control, Mechatronics and Automation (ICCMA 2023). IEEE conference proceedings. ISSN 978-1-6654-9048-1. doi: 10.1109/ICCMA59762.2023.10374743.
• Ovsthus, Orjan; Robsrud, Didrik Nicolai; Muggerud, Lars; Amendola, José; Cenkeramaddi, Linga Reddy & Tyapin, Ilya [Show all 7 contributors for this article] (2023). Mobile Robotic Manipulator based Autonomous Warehouse Operations.
• Robsrud, Didrik Nicolai; Ovsthus, Orjan; Muggerud, Lars; Amendola, José; Cenkeramaddi, Linga Reddy & Tyapin, Ilya [Show all 7 contributors for this article] (2023). Lidar-mmW Radar Fusion for Safer UGV Autonomous Navigation with Collision Avoidance.
• Jakobsen, Mette Mo; Tørdal, Sondre Sanden; Klausen, Andreas; Robbersmyr, Kjell Gunnar & Tyapin, Ilya (2021). Product development and project-based learning in Mechatronics, in the context of digitization and sustainability.
• Jha, Ajit; Subedi, Dipendra; Løvsland, Per-Ove; Tyapin, Ilya; Cenkeramaddi, Linga Reddy & Beferull-Lozano, Baltasar [Show all 7 contributors for this article] (2020). Autonomous mooring towards autonomous maritime navigation and offshore operations.
• Subedi, Dipendra & Tyapin, Ilya (2022). Modeling and Control of Flexible Link Manipulators. Universitetet i Agder. ISSN 978-82-8427-083-8. Full text in Research Archive
• Zhou, Jing; Ims, Benjamin Årøy; Enehaug, Bjørn; Skår, Eirik Magnus & Tyapin, Ilya (2021). HUMAN-COBOT SEQUENTIAL COOPERATION. Universitetet i Agder.
• Zhou, Jing; Kumar, Ravi; Radicke, Jan-Philip; Eidhammer, Eirik & Tyapin, Ilya (2021). Multi-Robot Cell Operation using Robot Operating System. Universitetet i Agder.
• Zhou, Jing; Vange, Tom Erik & Tyapin, Ilya (2021). Model-free object grasping : Model-free object grasping with a learning-free approach. Universitetet i Agder. Show summary

  The industry standards and capability are constantly advancing and pushing forward to increase data collection, efficiency, profit, and quality as well as decrease downtime, injuries, and hazards as much as possible. In recent years, robot systems have received more attention in the context of a large number of industrial applications, such as automotive manufacturing, additive manufacturing, assembly, quality inspection, and co-packing. The collaboration between multiple robots and human operators is considered to be the most prominent strategy in Industry 4.0 and future Industry 5.0, sharing the same space and collaborating on tasks according to their complementary capabilities. With the use of robots and their abilities could efficiency, profit, safety, and quality be further increased, potentially revolutionizing the industry and production. This project was supported in part by DEEPCOBOT Project. DEEPCOBOT, Collective Efficient Deep Learning and Networked Control for Multiple Collaborative Robot Systems, are a research project funded by IKTPLUSS under Grant 306640/O70 from the Research Council of Norway. The project will investigate the design of a new generation of decentralized data-driven Deep Learning based controllers for multiple coexisting collaborative robots, which interact both between them-selves and with human operators in order to collectively learn from each other’s experiences and perform cooperatively different complex tasks in large-scale industrial environments. This is motivated by the increasing demand of automation in industry, especially the demand of a safer and more efficient collaboration between multiple robots and human operators to integrate the best of human abilities and robotic automation.

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