Distributed low-resolution time-of-flight sensors along a 53 cm continuum robot, fused with a shape prior, achieve 2.5 cm position and 7.2 degree orientation localization error in simulation and real experiments across multiple environments.
In2025 IEEE 8th International Conference on Soft Robotics (RoboSoft)
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2026 2representative citing papers
The authors develop a differentiable simulator enforcing Markovian dynamics on a position-velocity manifold and using a mass-aligned preconditioner with a soft Fischer-Burmeister operator to produce stable gradients for frictional contact in large-deformation scenarios.
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Continuum Robot Localization using Distributed Time-of-Flight Sensors
Distributed low-resolution time-of-flight sensors along a 53 cm continuum robot, fused with a shape prior, achieve 2.5 cm position and 7.2 degree orientation localization error in simulation and real experiments across multiple environments.
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Fast and Reliable Gradients for Deformables Across Frictional Contact Regimes
The authors develop a differentiable simulator enforcing Markovian dynamics on a position-velocity manifold and using a mass-aligned preconditioner with a soft Fischer-Burmeister operator to produce stable gradients for frictional contact in large-deformation scenarios.