A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms

6 July 2019

Papers citing "A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms"

15 / 165 papers shown

Title
Learning Force Control for Contact-rich Manipulation Tasks with Rigid Position-controlled Robots C. C. Beltran-Hernandez Damien Petit I. Ramirez-Alpizar T. Nishi S. Kikuchi Takamitsu Matsubara Kensuke Harada 17 2 0 02 Mar 2020
Learning Precise 3D Manipulation from Multiple Uncalibrated Cameras Iretiayo Akinola Jacob Varley Dmitry Kalashnikov SSL 30 30 0 21 Feb 2020
Experience-Embedded Visual Foresight Yen-Chen Lin Maria Bauzá Phillip Isola 22 35 0 12 Nov 2019
Benchmark for Skill Learning from Demonstration: Impact of User Experience, Task Complexity, and Start Configuration on Performance M. A. Rana Daphne Chen S. Ahmadzadeh Jacob Williams Vivian Chu Sonia Chernova 7 16 0 07 Nov 2019
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations Ozsel Kilinc Giovanni Montana 17 37 0 16 Oct 2019
Self-Supervised Correspondence in Visuomotor Policy Learning Peter R. Florence Lucas Manuelli Russ Tedrake SSL 22 161 0 16 Sep 2019
Automatic Failure Recovery for End-User Programs on Service Mobile Robots Jenna Claire Hammond Joydeep Biswas Arjun Guha 11 5 0 06 Sep 2019
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning Kelsey R. Allen Kevin A. Smith J. Tenenbaum LRM 31 108 0 22 Jul 2019
Learning Hybrid Object Kinematics for Efficient Hierarchical Planning Under Uncertainty Ajinkya Jain S. Niekum 24 19 0 21 Jul 2019
Understanding Teacher Gaze Patterns for Robot Learning Akanksha Saran Elaine Schaertl Short A. Thomaz S. Niekum 14 31 0 16 Jul 2019
Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations Daniel S. Brown Wonjoon Goo S. Niekum 11 9 0 09 Jul 2019
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning Caleb Chuck Supawit Chockchowwat S. Niekum 11 14 0 27 May 2019
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck Dieter Fox PINN 3DPC AI4CE 178 161 0 15 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,700 0 09 Mar 2017
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 73 312 0 06 Jun 2015