放弃
发表于 2025-3-30 08:12:03
Emotion Detection During Human-Robots Interaction in Visual Reality Environmentiological signals including Electrocardiograph (ECG), Electromyogram(EMG), Electrodermal activity (EDA), functional near-infrared spectroscopy (fNIRS) were recorded synchronously. Verification experiments were executed and the results showed its availabilities and efficiencies of the proposed emotion detection system.
Fresco
发表于 2025-3-30 13:21:21
Probability-Based Time-Optimal Motion Planning of Multi-robots Along Specified Paths into two popular multi-robot motion planners, i.e., conflict-based search and prioritized planning approach. Experimental results demonstrate that, conflict-based search needs more computation time to achieve less motion time than prioritized motion planner.
LEER
发表于 2025-3-30 19:30:33
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finale
发表于 2025-3-31 00:22:58
Event-Based Cooperative Control Framework for Robot Teamsh-following problem, real-time path-planning problem, group routing problem, and action-planning problem. A novel approach to formalization and analysis of logic discrete event systems, which are the main component of the framework, based on logic calculus and automatic theorem proving is also briefly described.
完成才会征服
发表于 2025-3-31 04:17:31
Research on Short-Term Traffic Flow Forecast Based on Improved GA-Elmaniency of the prediction model. The experimental results show that the prediction effect of the proposed prediction model is better than the traditional model, and it is verified that the improved GA-Elman prediction model can reduce the error of traffic flow prediction.
Ancestor
发表于 2025-3-31 08:50:23
IFHS Method on Moving Object Detection in Vehicle Flows of moving targets detected in video surveillance by the separate optical flow method and the three-frame difference method is solved. The experimental simulation and experimental applications in different scenarios prove the robustness and accuracy of the method.
amygdala
发表于 2025-3-31 09:27:48
Adaptive Collision-Free Reaching Skill Learning from Demonstrationnce our approach is based on the underlying reactive skill dynamics, it does not share the same disadvantages as approaches which assume both the model of the task trajectory and the response from the obstacle should be learned from the demonstrations.