Composite Learning Exponential Tracking Robot Control With Uncertain Kinematics and Dynamics
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2023.3344675
Abstract: For the existing adaptive robot control methods considering kinematic and dynamic uncertainties, the strict persistent excitation is necessary for parameter convergence. To alleviate this stringent constraint and improve identification and tracking capabilities, a composite learning… read more here.
Keywords: kinematics; control; composite learning; kinematics dynamics ... See more keywords
A Coach-Based Bayesian Reinforcement Learning Method for Snake Robot Control
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3061372
Abstract: Reinforcement Learning (RL) usually needs thousands of episodes, leading its applications on physical robots expensive and challenging. Little research has been reported about snake robot control using RL due to additional difficulty of high redundancy… read more here.
Keywords: reinforcement learning; snake robot; learning method; robot control ... See more keywords
Temporally Consistent Object 6D Pose Estimation for Robot Control
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2024.3502052
Abstract: Single-view RGB object pose estimators have reached a level of precision and efficiency that makes them good candidates for vision-based robot control. However, off-the-shelf methods lack temporal consistency and robustness that are mandatory for a… read more here.
Keywords: object pose; control; pose estimation; approach ... See more keywords
Locally Weighted Learning Robot Control With Improved Parameter Convergence
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3140503
Abstract: An adaptive robot control approach that can achieve an accurate approximation of the complex robot dynamics without knowledge unlearning in the case of multiple sequential tasks is proposed in this article. A locally weighted learning… read more here.
Keywords: robot control; locally weighted; parameter convergence; robot ... See more keywords
Dynamic Event-Triggered Composite Learning Robot Control With Exponential Tracking
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2025.3559961
Abstract: Composite learning can guarantee the exponential stability of adaptive robot control under a condition termed interval excitation (IE) that is strictly weaker than the classical condition of persistent excitation. However, existing composite learning robot control… read more here.
Keywords: learning robot; event triggered; composite learning; robot control ... See more keywords
Skin preparation–free, stretchable microneedle adhesive patches for reliable electrophysiological sensing and exoskeleton robot control
Sign Up to like & getrecommendations! Published in 2024 at "Science Advances"
DOI: 10.1126/sciadv.adk5260
Abstract: High-fidelity and comfortable recording of electrophysiological (EP) signals with on-the-fly setup is essential for health care and human-machine interfaces (HMIs). Microneedle electrodes allow direct access to the epidermis and eliminate time-consuming skin preparation. However, existing… read more here.
Keywords: exoskeleton robot; stretchable microneedle; microneedle adhesive; skin preparation ... See more keywords
Pre-Processing Optimisation of Robot Control to Reduce Energy Consumption
Sign Up to like & getrecommendations! Published in 2025 at "Actuators"
DOI: 10.3390/act14090462
Abstract: The huge growth in the utilisation of six-axis robots in various technological applications in production calls for a detailed focus on the process of preparing Numerical Control (NC) programmes for effective robot control. Considerable attention… read more here.
Keywords: robot; robot control; energy consumption; energy ... See more keywords
Spatiotemporal Modeling of Grip Forces Captures Proficiency in Manual Robot Control
Sign Up to like & getrecommendations! Published in 2023 at "Bioengineering"
DOI: 10.3390/bioengineering10010059
Abstract: New technologies for monitoring grip forces during hand and finger movements in non-standard task contexts have provided unprecedented functional insights into somatosensory cognition. Somatosensory cognition is the basis of our ability to manipulate and transform… read more here.
Keywords: robot control; manual robot; grip forces; grip ... See more keywords