Journal

Insights
& Research

Human as an Oracle: DAgger and Human Noise (2026)

DAgger was supposed to fix policy drift by putting the human back in the loop. but it assumes that human never tires, lags, or hesitates. When that assumption breaks, the noise doesn't disappear. It just relocates to the exact moment the robot needs it most.

Sep 15, 20265 min read

Teleoperation

Why Consistent Data Collection at Scale is so Hard: The 5 Real Blockers in 2026 for Robotics Teams.

Jun 16, 2026

Industry

What ICRA 2026 at Vienna Taught Us About the Future of Robotics Industry

Jun 11, 2026

Data Collection

Is Your Training Data Good Enough? An Updated Guide for Machine Learning Teams in 2026

Jun 3, 2026

Industry

Why Should You Care About VLA Data Annotation in 2026

Jun 3, 2026

Embodied AI Models 101: Reactive, Generative, and Predictive Architectures (2026)

May 19, 2026

Data Collection

Robotics Data Collection Methods 101: Egocentric, Teleoperation, UMI, and Mocap Data (2026)

May 14, 2026

Data Collection

A Practical Guide on How to Measure Your Sensor Precision (2026)

May 6, 2026

Insights & Research

Human as an Oracle: DAgger and Human Noise (2026)

The Human Factor in Teleoperation: A Taxonomy of Teleoperator Noise (2026)

The Role of Motion Capture in Embodied AI in 2026

Data Quality vs Data Volume: Why more data isn’t always the best.

Why Consistent Data Collection at Scale is so Hard: The 5 Real Blockers in 2026 for Robotics Teams.

What ICRA 2026 at Vienna Taught Us About the Future of Robotics Industry

Is Your Training Data Good Enough? An Updated Guide for Machine Learning Teams in 2026

Why Should You Care About VLA Data Annotation in 2026

Embodied AI Models 101: Reactive, Generative, and Predictive Architectures (2026)

Robotics Data Collection Methods 101: Egocentric, Teleoperation, UMI, and Mocap Data (2026)

A Practical Guide on How to Measure Your Sensor Precision (2026)

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Insights
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