Browse State-of-the-Art › Industrial Robots
Industrial Robots
16 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
An industrial robot is a robot system used for manufacturing. Industrial robots are automated, programmable and capable of movement on three or more axes.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Most implemented papers archive 2025-07-28
16 shown of 16 papers with code (61 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
-
27 Oct 2018 3 repositories listedWe show that a mild relaxation of the task and workspace constraints implicit in existing object grasping datasets can cause neural network based grasping algorithms to fail on even a simple block stacking task when…
-
30 Jan 2022 2 repositories listed Syntology ran 4 of 30 samples · 26 unverifiedThe canonical object representation is learned solely in simulation and then used to parse a category-level, task trajectory from a single demonstration video.
-
8 Nov 2023 1 repository listedDuring the operation of industrial robots, unusual events may endanger the safety of humans and the quality of production.
-
14 Jan 2023 1 repository listedIndustrial robots are widely used in various manufacturing environments due to their efficiency in doing repetitive tasks such as assembly or welding.
-
15 Jul 2022 1 repository listedIn both industrial and service domains, a central benefit of the use of robots is their ability to quickly and reliably execute repetitive tasks.
-
17 Nov 2021 1 repository listedHowever, there is little prior theoretical work that explains the effectiveness of ILC even in the presence of large modeling errors, where optimal control methods using the misspecified model (MM) often perform poorly.
-
19 Sep 2021 1 repository listedThis work proposes a framework to learn task-relevant grasping for industrial objects without the need of time-consuming real-world data collection or manual annotation.
-
16 Mar 2021 1 repository listedIndustrial robots can solve very complex tasks in controlled environments, but modern applications require robots able to operate in unpredictable surroundings as well.
-
5 Mar 2021 1 repository listedThe design of the action space used for reinforcement learning ensures that all computed trajectories comply with kinematic joint limits.
-
23 Sep 2020 1 repository listedSince path optimization is the core of any search algorithms, including A*, the 4D cylindrical grid provides for a search space that can embed further knowledge in form of cell properties, including the presence of…
-
17 Nov 2019 1 repository listedThe IKEA Furniture Assembly Environment is one of the first benchmarks for testing and accelerating the automation of complex manipulation tasks.
-
2 Aug 2019 1 repository listedManipulation tasks such as preparing a meal or assembling furniture remain highly challenging for robotics and vision.
-
24 Nov 2018 1 repository listedIn tasks where knowing the agent dynamics is important for success, we learn an embedding for robot hardware and show that policies conditioned on the encoding of hardware tend to generalize and transfer well.
-
18 Jan 2018 1 repository listedThe Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals, or people that are provided with unique identifiers and the ability to transfer data over a…
-
16 Oct 2017 1 repository listedIn this work, we investigate the question of whether touch sensing aids in predicting grasp outcomes within a multimodal sensing framework that combines vision and touch.
-
22 Sep 2017 1 repository listedWe extensively evaluate our approaches with a total of more than 25, 000 physical test grasps, studying a range of simulation conditions and domain adaptation methods, including a novel extension of pixel-level domain…
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections