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Titlebook: RiTA 2020; Proceedings of the 8 Esyin Chew,Anwar P. P. Abdul Majeed,Jong-Hwan Kim Conference proceedings 2021 The Editor(s) (if applicable)

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Human-Like Control System Design of the Lower Limb Rehabilitation Robot Based on Adaptive RBF Neural the challenging problems. To provide safer and more effective rehabilitation training for patients, a human-like control system of LLRR based on adaptive radial basis function (ARBF) neural network is proposed. The optical 3D motion capture platform (O3DMCP) is adopted to collect the human gait da
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Firefighter Drone Hardware Configuration and Vision-Based Detection & Control,g. Water should be sprayed using drones and accurately sprayed on disturbance such as wind and smoke. Between buildings, electromagnetic interference or reflection from buildings is so severe that accurate GPS information is not available. Control of Vision based was used to solve this problem. To e
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Vehicle Trajectory Prediction with Convolutional Neural Network and Sequence-to-Sequence, by the location of other vehicles, road environments, and vehicle dynamics. In this paper, we propose a deep learning-based network that combines convolutional neural network (CNN) and Sequence-to-Sequence (Seq2Seq) for trajectory prediction. In order to encode the location of other vehicles and ro
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A Balance Controller of the Humanoid Robot Based on Momentum Under External Impact,ed balance controller to control the linear and angular momenta of the robot. Firstly, the desired ground reaction force (GRF) and center of pressure (CoP) are designed through the conditions of the center of mass (CoM) and angular momentum. Secondly, the relation map between GRF and joint torques i
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Waypoint Planning for Mono Visual Drone Using the Minimal Bounded Space Method,, sonar, stereo camera, and infrared. These rangefinders are costly in load and battery capacity, thus often not found on small drones. Small drones are usually equipped with a mono camera. However, without rangefinders, depth information is not available. Waypoint planning for mono visual drones re
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