Kian Behzad

Orcid: 0000-0001-9959-2832

According to our database1, Kian Behzad authored at least 13 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Bio-Inspired Event-Based Visual Servoing for Ground Robots.
CoRR, March, 2026

2025
Non-submodular Visual Attention for Robot Navigation.
CoRR, October, 2025

Real-Time Adaptive Motion Planning via Point Cloud-Guided, Energy-Based Diffusion and Potential Fields.
IEEE Robotics Autom. Lett., September, 2025

Visual Inertial Navigation: Cancer-Ribbon Dataset.
Dataset, August, 2025

Nonsubmodular Visual Attention for Robot Navigation.
IEEE Trans. Robotics, 2025

Robotic Surveillance with Channel State Information for Object Tracking and Counting.
Proceedings of the 36th IEEE International Symposium on Personal, 2025

Mobile WiFi CSI-Based Object Detection: A Bistatic Approach for Enhanced Sensing in Enclosed Environment.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2025

Subcarrier Selection for WiFi CSI Sensing via Submodular Optimization.
Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024
RoboFiSense: Attention-Based Robotic Arm Activity Recognition With WiFi Sensing.
IEEE J. Sel. Top. Signal Process., April, 2024

RoboMNIST: A Multimodal Dataset for Multi-Robot Activity Recognition Using WiFi Sensing, Video, and Audio.
CoRR, 2024

Enhancing Robotic Arm Activity Recognition with Vision Transformers and Wavelet-Transformed Channel State Information.
Proceedings of the 35th IEEE International Symposium on Personal, 2024

Robustness Evaluation of Machine Learning Models for Robot Arm Action Recognition in Noisy Environments.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Robot Motion Prediction by Channel State Information.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023


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