A 48-camera residential platform delivers real-time occlusion-robust 3D perception and coordinated actuation for multi-human multi-robot interaction in a shared home workspace.
Least-squares estimation of transformation parameters between two point patterns
5 Pith papers cite this work. Polarity classification is still indexing.
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The minimum number of DFT coefficients that uniquely determine an integer N1×N2 image equals the number of cyclic subgroups of Z_N1×Z_N2, and LLL-based lattice algorithms recover such images from that minimal set.
An automated real-to-sim pipeline builds digital twins and affordance-preserving cousins from video, yielding sim evaluations that correlate with real robot policy success and zero-shot sim-to-real gains.
A 2D Gaussian Splatting method with depth map generation and divide-and-conquer strategy produces high-quality TDOMs and spatial reconstructions without explicit DSM or occlusion detection.
CLASP combines TP-KMPs with VLMs for language-guided skill selection, covariance-weighted composition, and active learning requests, reporting 73.3-100% success on a 7-DoF manipulator.
citing papers explorer
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OmniRobotHome: A Multi-Camera Platform for Real-Time Multiadic Human-Robot Interaction
A 48-camera residential platform delivers real-time occlusion-robust 3D perception and coordinated actuation for multi-human multi-robot interaction in a shared home workspace.
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Recovery of Integer Images from Minimal DFT Measurements: Uniqueness and Inversion Algorithms
The minimum number of DFT coefficients that uniquely determine an integer N1×N2 image equals the number of cyclic subgroups of Z_N1×Z_N2, and LLL-based lattice algorithms recover such images from that minimal set.
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SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation
An automated real-to-sim pipeline builds digital twins and affordance-preserving cousins from video, yielding sim evaluations that correlate with real robot policy success and zero-shot sim-to-real gains.
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High-Quality Spatial Reconstruction and Orthoimage Generation Using Efficient 2D Gaussian Splatting
A 2D Gaussian Splatting method with depth map generation and divide-and-conquer strategy produces high-quality TDOMs and spatial reconstructions without explicit DSM or occlusion detection.
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CLASP: Language-Driven Robot Skill Selection and Composition using Task-Parameterized Learning
CLASP combines TP-KMPs with VLMs for language-guided skill selection, covariance-weighted composition, and active learning requests, reporting 73.3-100% success on a 7-DoF manipulator.