Differentiable Algorithm Networks for Composable Robot Learning

28 May 2019

Tomas Lozano-Perez

Papers citing "Differentiable Algorithm Networks for Composable Robot Learning"

22 / 22 papers shown

Title
Robotic Table Tennis: A Case Study into a High Speed Learning System David B. DÁmbrosio Jonathan Abelian Saminda Abeyruwan Michael Ahn Alex Bewley ... Vikas Sindhwani Avi Singh Vincent Vanhoucke Grace Vesom Peng Xu 60 13 0 20 Feb 2025
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps Linfeng Zhao Lawson L. S. Wong 82 1 0 16 Dec 2024
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts Christopher P. Diehl Peter Karkus Sushant Veer Marco Pavone Torsten Bertram 203 0 0 13 Oct 2024
Differentiable Particles for General-Purpose Deformable Object Manipulation Siwei Chen Yiqing Xu Cunjun Yu Linfeng Li David Hsu 46 6 0 02 May 2024
E(2)-Equivariant Graph Planning for Navigation Linfeng Zhao Hongyu Li T. Padır Huaizu Jiang Lawson L. S. Wong 25 6 0 22 Sep 2023
Open-World Object Manipulation using Pre-trained Vision-Language Models Austin Stone Ted Xiao Yao Lu K. Gopalakrishnan Kuang-Huei Lee ... Sean Kirmani Brianna Zitkovich F. Xia Chelsea Finn Karol Hausman LM&Ro 156 145 0 02 Mar 2023
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles Peter Karkus Boris Ivanovic Shie Mannor Marco Pavone 36 46 0 13 Dec 2022
Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement Zirui Zhao W. Lee David Hsu OOD 34 9 0 01 Oct 2022
Partially Observable Markov Decision Processes in Robotics: A Survey M. Lauri David Hsu Joni Pajarinen 64 98 0 21 Sep 2022
Model-based Reinforcement Learning with Multi-step Plan Value Estimation Hao-Chu Lin Yihao Sun Jiajin Zhang Yang Yu OffRL 37 7 0 12 Sep 2022
Active Learning in Robotics: A Review of Control Principles Annalisa T. Taylor Thomas A. Berrueta Todd D. Murphey 27 71 0 25 Jun 2021
Neural Weighted A: Learning Graph Costs and Heuristics with Differentiable Anytime A Alberto Archetti Marco Cannici Matteo Matteucci 22 4 0 04 May 2021
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects Xiao Ma David Hsu W. Lee AI4CE 34 28 0 25 Apr 2021
Learning Reactive and Predictive Differentiable Controllers for Switching Linear Dynamical Models Saumya Saxena A. LaGrassa Oliver Kroemer 23 4 0 26 Mar 2021
Differentiable Nonparametric Belief Propagation Anthony Opipari Chao Chen Shoutian Wang Jana Pavlasek Karthik Desingh Odest Chadwicke Jenkins 14 5 0 15 Jan 2021
Topological Planning with Transformers for Vision-and-Language Navigation Kevin Chen Junshen K. Chen Jo Chuang Marynel Vázquez Silvio Savarese LM&Ro 27 99 0 09 Dec 2020
Occupancy Anticipation for Efficient Exploration and Navigation Santhosh Kumar Ramakrishnan Ziad Al-Halah Kristen Grauman EgoV 3DPC 22 162 0 21 Aug 2020
A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty Valentin Peretroukhin Matthew Giamou David M. Rosen W. N. Greene Nicholas Roy Jonathan Kelly 24 42 0 01 Jun 2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction Cunjun Yu Xiao Ma Jiawei Ren Haiyu Zhao Shuai Yi 26 459 0 18 May 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 44 87 0 16 May 2020
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion Peide Cai Sukai Wang Yuxiang Sun Ming Liu 38 70 0 05 May 2020
Particle Filter Recurrent Neural Networks Xiao Ma Peter Karkus David Hsu Wee Sun Lee 14 82 0 30 May 2019