Instructing Robots by Sketching: Learning from Demonstration via
Probabilistic Diagrammatic Teaching

Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching

7 September 2023

Weiming Zhi

Matthew Johnson-Roberson

Papers citing "Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching"

7 / 7 papers shown

Title
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Thomas Müller Alex Evans Christoph Schied A. Keller 223 3,948 0 16 Jan 2022
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets Constantinos Chamzas Carlos Quintero-Peña Zachary Kingston A. Orthey D. Rakita Michael Gleicher Marc Toussaint Lydia E. Kavraki 34 59 0 13 Dec 2021
Neural Volume Rendering: NeRF And Beyond F. Dellaert Yen-Chen Lin 41 63 0 17 Dec 2020
DeRF: Decomposed Radiance Fields Daniel Rebain Wei Jiang S. Yazdani Ke Li K. M. Yi Andrea Tagliasacchi 53 204 0 25 Nov 2020
Neural Sparse Voxel Fields Lingjie Liu Jiatao Gu Kyaw Zaw Lin Tat-Seng Chua Christian Theobalt 233 1,258 0 22 Jul 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 113 1,662 0 05 Dec 2019
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation Mehdi Letafati Yuke Zhu Animesh Garg Jonathan Booher Max Spero ... John Emmons Anchit Gupta Emre Orbay Silvio Savarese Li Fei-Fei OffRL 64 290 0 07 Nov 2018