Interface Based on Electrooculography for Velocity Control of a Robot Arm by Eduardo Iáñez, José M. Azorín, Eduardo Fernández, Andrés Úbeda

“…In this paper, the experimental results obtained with a real robot arm are shown.…”
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Neural network-based robot localization using visual features by Felipe Trujillo-Romero

“…The experiments were conducted using both simulation and a real robot. The Webots environment with the virtual humanoid robot NAO was used for the simulations. …”
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Intentionally-underestimated value function at terminal state for temporal-difference learning with mis-designed reward by Taisuke Kobayashi

“…Simulation results showed that the proposed method improves the success rate for 24 tasks with different reward designs from 10/24 in the conventional method to 20/24. Real-robot experiments also demonstrated that the proposed method enables to learn the optimal policy even in the case that the conventional method fails.…”
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Dynamics Model Abstraction Scheme Using Radial Basis Functions by Silvia Tolu, Mauricio Vanegas, Rodrigo Agís, Richard Carrillo, Antonio Cañas

“…Experiments are done using a real robot’s arm, and trajectory data are gathered during various trials manipulating different objects. …”
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Segment, Compare, and Learn: Creating Movement Libraries of Complex Task for Learning from Demonstration by Adrian Prados, Gonzalo Espinoza, Luis Moreno, Ramon Barber

“…Its effectiveness has been validated in manipulation tasks with a real robot, as well as through comparisons with state-of-the-art algorithms.…”
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Flexible Model Predictive Control for Bounded Gait Generation in Humanoid Robots by Tianbo Yang, Yuchuang Tong, Zhengtao Zhang

“…In addition, the validation of the simulation of real robot motion on the robots CASBOT and Openloong, in turn, demonstrates the effectiveness and robustness of our approach.…”
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Repetitive Control of Robotic Joint With Variable Impedance Utilizing Agonist-Antagonist Muscle Pair Structure Based on Virtual Trajectories by Kaho Umeda, Yinlai Jiang, Hiroshi Yokoi, Shunta Togo

“…In this study, the repetitive control based on virtual trajectory, which is a model-free control method proposed for flexible human multi-joints, is extended and applied to a real robotic joint with a variable mechanical impedance mechanism. …”
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Rapid learning with phase-change memory-based in-memory computing through learning-to-learn by Thomas Ortner, Horst Petschenig, Athanasios Vasilopoulos, Roland Renner, Špela Brglez, Thomas Limbacher, Enrique Piñero, Alejandro Linares-Barranco, Angeliki Pantazi, Robert Legenstein

“…We demonstrate the versatility of our approach in two scenarios: a convolutional neural network performing image classification and a biologically-inspired spiking neural network generating motor commands for a real robotic arm. Both models rapidly learn with few parameter updates. …”
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Dynamic Task Planning for Multi-Arm Harvesting Robots Under Multiple Constraints Using Deep Reinforcement Learning by Feng Xie, Zhengwei Guo, Tao Li, Qingchun Feng, Chunjiang Zhao

“…We will research improving the positioning accuracy of fruits in the future, which will make it possible to apply this framework to real robots.…”
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