PapersSelected73°9月27日 03:48

Blind Dexterity: Humanoid Walking Without IMU Sensors

Thomas Wolf@Thom_Wolf

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Why we picked it

Removing the IMU and force-torque sensors cuts cost, weight and failure points in humanoid hardware, which could shape how low-cost robot platforms are designed. Robotics engineers working on balance and control can study the method as a baseline against proprioception-heavy pipelines. It comes out of German labs DFKI and TU Darmstadt rather than a commercial humanoid vendor.

A PhD paper named Blind Dexterity, presented by Aditya Bhatt at IROS 2026, demonstrates push-resilient humanoid walking using only joint encoders.

Body

The work is a collaboration with OKaidanov, liu_puze and Jan R.Peters at DFKI and TU Darmstadt.

It claims to be the first approach to achieve robust walking with no IMU and no force/torque sensors.

Original · Thomas Wolf

turns out you don’t need IMU 🤯 Aditya Bhatt ✈️ IROS 2026 @aditya_bhatt In my latest PhD paper, we declare WAR on sensor-maxxing. For the first time, push-resilient humanoid walking, just with joint encoders! No IMU, no F/T sensors. 🥁 Introducing Blind Dexterity 🧵 👇 w/ @OKaidanov @liu_puze @Jan_R_Peters at @DFKI @ias_tudarmstadt

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Papers" desk, focusing on Europe's AI governance and technology ecosystem. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include humanoid robots, joint encoders, Blind Dexterity, IROS 2026.

Source attribution: curated from Thomas Wolf (@Thom_Wolf).

#humanoid robots #joint encoders #Blind Dexterity #IROS 2026 #robotics

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