activity
20232026
most citedRoboFiSense: Attention-Based Robotic Arm Activity Recognition with WiFi Sensing

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

PhyWorld: Physics-Faithful World Model for Video Generation

Pu Zhao, Juyi Lin, Timothy Rupprecht +10

World simulators can provide safe and scalable environments for training Physical AI systems before real-world deployment. Large video generation models are emerging as a promising…

cs.RO2024

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

Kian Behzad, Rojin Zandi, Elaheh Motamedi +2

We introduce a novel dataset for multi-robot activity recognition (MRAR) using two robotic arms integrating WiFi channel state information (CSI), video, and audio data. This multim…

cs.RO2024

Enhancing Robotic Arm Activity Recognition with Vision Transformers and Wavelet-Transformed Channel State Information

Rojin Zandi, Kian Behzad, Elaheh Motamedi +2

Vision-based methods are commonly used in robotic arm activity recognition. These approaches typically rely on line-of-sight (LoS) and raise privacy concerns, particularly in smart…

cs.CV2024

Robustness Evaluation of Machine Learning Models for Robot Arm Action Recognition in Noisy Environments

Elaheh Motamedi, Kian Behzad, Rojin Zandi +2

In the realm of robot action recognition, identifying distinct but spatially proximate arm movements using vision systems in noisy environments poses a significant challenge. This…

cs.RO2023★ 1 cited

RoboFiSense: Attention-Based Robotic Arm Activity Recognition with WiFi Sensing

Rojin Zandi, Kian Behzad, Elaheh Motamedi +2

Despite the current surge of interest in autonomous robotic systems, robot activity recognition within restricted indoor environments remains a formidable challenge. Conventional m…

cs.RO2023

Robot Motion Prediction by Channel State Information

Rojin Zandi, Hojjat Salehinejad, Kian Behzad +2

Autonomous robotic systems have gained a lot of attention, in recent years. However, accurate prediction of robot motion in indoor environments with limited visibility is challengi…