Dexterity-BEV: Aligning 3D World and Actions for Generalizable Robot Policies Learning

Kavli Affiliate: Wei Gao| Summary:End-to-end manipulation policies, combined with web-scale pretrained Vision-Language Models (VLMs), show the promise for generalizable and dexterous robotic manipulation. However, they inherit two key limitations from 2D foundation models: 1) the reliance on 2D RGB inputs that ignores the intrinsically 3D nature of manipulation; and 2) the lack of spatial 3D […]


Continue.. Dexterity-BEV: Aligning 3D World and Actions for Generalizable Robot Policies Learning

Dexterity-BEV: Aligning 3D World and Actions for Generalizable Robot Policies Learning

Kavli Affiliate: Wei Gao| Summary:End-to-end manipulation policies, combined with web-scale pretrained Vision-Language Models (VLMs), show the promise for generalizable and dexterous robotic manipulation. However, they inherit two key limitations from 2D foundation models: 1) the reliance on 2D RGB inputs that ignores the intrinsically 3D nature of manipulation; and 2) the lack of spatial 3D […]


Continue.. Dexterity-BEV: Aligning 3D World and Actions for Generalizable Robot Policies Learning

Towards Heisenberg Scaling: Measurement-Efficient Non-Orthogonal Quantum Eigensolver

Kavli Affiliate: Birgitta Whaley | Summary:The Non-Orthogonal Quantum Eigensolver (NOQE) provides an accurate framework for electronic-structure calculations, but the estimation of its Hamiltonian and overlap matrix elements relies on sampling and requires $O(1/varepsilon^2)$ circuit repetitions to achieve additive precision $varepsilon$. Here, we reformulate this matrix-element estimation step as a collection of amplitude-estimation tasks and integrate […]


Continue.. Towards Heisenberg Scaling: Measurement-Efficient Non-Orthogonal Quantum Eigensolver