TeleSim

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TeleSim is a network-aware hardware-in-the-loop dataset designed to evaluate the performance of telerobotic systems under varying network conditions. It includes 300 fine-manipulation trials using a 6-DoF robotic arm and simulated networks in OMNeT++. Each trial captures: - Network configuration (bandwidth, latency, jitter, packet loss) - Measured network metrics (throughput, delay, jitter, real packet loss) - Video quality (PSNR, SSIM) - Task performance (completion time, success rate) Motivation: Existing teleoperation datasets often ignore the impact of real-world network degradation. TeleSim fills this gap by systematically evaluating how adverse conditions affect visual perception and task execution. Use cases: - Benchmarking teleoperation performance - Designing adaptive control algorithms - Evaluating network resilience of robotic systems