A terrain-adaptive epsilon-constraint MPC with semi-parametric SGP vehicle-terrain model achieves 94% success rate, 24% lower orientation deviation, and 23% better trade-off quality than MPPI and GAKD baselines.
You can find geodesic paths in triangle meshes by just flipping edges
6 Pith papers cite this work, alongside 140 external citations. Polarity classification is still indexing.
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A neural network trained on full-reference perceptual quality labels predicts minimal sufficient resolution for rendered video to enable power-efficient client-side rendering.
A cross-embodied co-design framework learns task-specific hand morphologies and control policies, achieving sim-to-real rotation up to 3.3 rad/s and full fabrication in under 24 hours.
Implicit neural fields enable joint optimization of manufacturing layers and toolpaths with explicit collision avoidance in a single differentiable pipeline for multi-axis processes.
Prior-first body-hand kinematic model with layered adapters for real-time, low-supervision hand motion completion conditioned on body and semantics.
Robotic system combines vision-based topography, stiffness sensing, and closed-loop force control with expert data replay to perform adaptive abdominal ultrasound scans and acquire 3D volumes.
citing papers explorer
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A Terrain-Adaptive epsilon-Constraint MPC for Uneven Terrain Kinodynamic Planning
A terrain-adaptive epsilon-constraint MPC with semi-parametric SGP vehicle-terrain model achieves 94% success rate, 24% lower orientation deviation, and 23% better trade-off quality than MPPI and GAKD baselines.
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Seeing enough: non-reference perceptual resolution selection for power-efficient client-side rendering
A neural network trained on full-reference perceptual quality labels predicts minimal sufficient resolution for rendered video to enable power-efficient client-side rendering.
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House of Dextra: Cross-embodied Co-design for Dexterous Hands
A cross-embodied co-design framework learns task-specific hand morphologies and control policies, achieving sim-to-real rotation up to 3.3 rad/s and full fabrication in under 24 hours.
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Implicit Neural Field-Based Process Planning for Multi-Axis Manufacturing: Direct Control over Collision Avoidance and Toolpath Geometry
Implicit neural fields enable joint optimization of manufacturing layers and toolpaths with explicit collision avoidance in a single differentiable pipeline for multi-axis processes.
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Prior-First, Condition-Second: Scalable and Controllable Hand Motion Completion
Prior-first body-hand kinematic model with layered adapters for real-time, low-supervision hand motion completion conditioned on body and semantics.
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Visuotactile and Explicitly Force-Controlled Robotic Ultrasound for Abdominal Volumetric Reconstruction
Robotic system combines vision-based topography, stiffness sensing, and closed-loop force control with expert data replay to perform adaptive abdominal ultrasound scans and acquire 3D volumes.