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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Energy-Efficient and Fault-Tolerant Control of a Six-Axis Robot Based on AI Models by Patryk Nowak, Zoran Pandilov

“…Studies conducted in simulation and verified on a real robot for 10 different obstacle and target positions and 22 possible kinematic configurations of the robot, consisting of all axes active, any one axis inactive, or any two axes inactive, confirm the energy-saving possibilities.…”
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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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Inc-DLOM: Incremental Direct LiDAR Odometry and Mapping by Kaiduo Fang, Rui Song, Ivan Wang-Hei Ho

“…To evaluate the performance in terms of accuracy and efficiency, extensive experiments have been conducted with both mechanical LiDAR and solid-state LiDAR on different robotic platforms, including public datasets and real robot data acquisition. The experimental results show that Inc-DLOM achieves better accuracy, efficiency, and generalizability than other comparison state-of-the-art LiDAR Odometry methods.…”
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See-Then-Grasp: Object Full 3D Reconstruction via Two-Stage Active Robotic Reconstruction Using Single Manipulator by Youngtaek Hong, Jonghyeon Kim, Geonho Cha, Eunwoo Kim, Kyungjae Lee

“…Furthermore, we validate our method on a real robot, showing that it enables full 3D reconstruction of real-world objects.…”
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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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WearMoCap: multimodal pose tracking for ubiquitous robot control using a smartwatch by Fabian C. Weigend, Neelesh Kumar, Oya Aran, Heni Ben Amor

“…Further, we discuss real-robot applications of underlying works and evaluate WearMoCap in handover and teleoperation tasks, resulting in performances that are within 2 cm of the accuracy of the gold-standard motion capture system. …”
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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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A Multiplex Approach Against Disturbance Propagation in Nonlinear Networks With Delays by Shihao Xie, Giovanni Russo

“…The protocols are validated both in-silico and via an experimental set-up with real robots. All experiments confirm the effectiveness of our approach.…”
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SAILOR: perceptual anchoring for robotic cognitive architectures by Miguel Á. González-Santamarta, Francisco J. Rodrıguez-Lera, Vicente Matellan-Olivera, Virginia Riego del Castillo, Lidia Sánchez-González

“…SAILOR aims to maintain the link between symbolic data and perceptual data in real robots over time. It provides a semantic world modeling approach using two deep learning-based sub-symbolic robotic skills: object recognition and matching function. …”
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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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Terrain Irregularity Sensing by Evaluating Feet Coordinate Standard Deviation by Tomas Luneckas, Mindaugas Luneckas, Dainius Udris

“…Experiments were conducted with real robots while walking over obstacles with different gaits to validate the method. …”
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