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HOME/PEOPLE/TIM MISSAL
// PERSON

Tim Missal

ROLE GRADUATE RESEARCHERAT TECHNICAL UNIVERSITY OF DARMSTADTMENTIONS 3LAST SEEN APRIL 30, 2026
// BIO

Tim Missal is a graduate researcher at the Technical University of Darmstadt, affiliated with the Intelligent Autonomous Systems (IAS) Lab led by Professor Jan Peters. He is best known as a co-first author of RopeDreamer, a deep learning framework that predicts the dynamics of deformable linear objects such as ropes and cables using a kinematic recurrent state space model. The work, submitted to arXiv in April 2026, demonstrates a 40.52% reduction in open-loop prediction error at 50-step horizons and a 31% improvement in inference speed over the prior state of the art, with potential applications in robotic manipulation of flexible objects.

// RECENT MENTIONS
// SIGNALS
3 SIGNALS
01
product·arXiv Physical AI·APRIL 30, 2026

RopeDreamer proposes a new architecture that predicts flexible object behavior 40% more accurately over long horizons while running 31% faster than the current best approach.

Source
02
mention·arXiv Physical AI·APRIL 30, 2026

RopeDreamer's best model, by contrast, accumulates only 19.05mm of error at t=50. That's a 40.52% reduction in prediction error at the 50-step horizon — and the gap widens over time, not narrows.

Source
03
mention·arXiv Physical AI·APRIL 30, 2026

The simulation is implemented in MuJoCo 3.3.7, where the DLO is modeled as a chain of 70 capsules with a length of 10mm and a thickness of 10mm, connected by ball joints.

Source

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