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Guides and research notes on teleoperation, data collection, force control and choosing hardware for robot learning.
Choosing a robot arm for VLA research in 2026: X5, PiPER, WidowX AI and SO-101 compared
Published specs and list prices for four popular research arms, ARX X5, AgileX PiPER, Trossen WidowX AI and SO-101, and how to choose for imitation le…
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Research built with ARX arms: 25 projects from 2024 to 2026
Robot learning projects that ran on ARX hardware, from π0 to Xiaomi-Robotics-1, grouped by topic, with the evidence for each.
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Leader–follower teleoperation: a practical guide for robot learning labs
What leader–follower teleoperation is, why imitation-learning labs use it, what hardware it needs, how it compares with VR and SpaceMouse control, and…
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How to set up a bimanual data-collection station
A step-by-step checklist for a two-arm teleoperation station: arms, cameras, computer, CAN binding, camera mapping, and the collect–train–deploy loop,…
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Why force control matters for imitation learning
What force-controlled and quasi-direct-drive arms change for teleoperation, data collection and policy deployment, and which control features to check…
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Egocentric data for robot learning: what recent work shows
What egocentric (first-person) human data is, what EgoVerse, EgoWAM, UMI and Xiaomi-Robotics-1 show about using it, and how to pair it with robot data…
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Mobile manipulation platforms for research: lift, head and base control explained
What a research mobile manipulator needs (a base you can drive from code, a lift, a movable head camera, VR teleoperation and the same data pipeline a…
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