Industrial Robots
16 papers with code • 0 benchmarks • 1 datasets
An industrial robot is a robot system used for manufacturing. Industrial robots are automated, programmable and capable of movement on three or more axes.
Benchmarks
These leaderboards are used to track progress in Industrial Robots
Synthetic Object Preference Adaptation Data
Most implemented papers
Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors
The design of the action space used for reinforcement learning ensures that all computed trajectories comply with kinematic joint limits.
Combining Planning and Learning of Behavior Trees for Robotic Assembly
Industrial robots can solve very complex tasks in controlled environments, but modern applications require robots able to operate in unpredictable surroundings as well.
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
This 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.
On the Effectiveness of Iterative Learning Control
However, 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.
Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as Observation
Industrial robots are widely used in various manufacturing environments due to their efficiency in doing repetitive tasks such as assembly or welding.
The voraus-AD Dataset for Anomaly Detection in Robot Applications
vorausrobotik/voraus-ad-dataset
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During the operation of industrial robots, unusual events may endanger the safety of humans and the quality of production.
