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Active Mass Distribution Estimation from Tactile Feedback

Active Mass Distribution Estimation from Tactile Feedback

2 March 2023
Jiacheng Yuan
Changhyun Choi
E. Tadmor
Volkan Isler
ArXiv (abs)PDFHTML

Papers citing "Active Mass Distribution Estimation from Tactile Feedback"

11 / 11 papers shown
Title
Where2Act: From Pixels to Actions for Articulated 3D Objects
Where2Act: From Pixels to Actions for Articulated 3D Objects
Kaichun Mo
Leonidas Guibas
Mustafa Mukadam
Abhinav Gupta
Shubham Tulsiani
202
187
0
07 Jan 2021
Multi-Step Recurrent Q-Learning for Robotic Velcro Peeling
Multi-Step Recurrent Q-Learning for Robotic Velcro Peeling
Jiachen Yuan
Nicolai Häni
Volkan Isler
50
6
0
16 Nov 2020
Identifying Mechanical Models through Differentiable Simulations
Identifying Mechanical Models through Differentiable Simulations
Changkyu Song
Abdeslam Boularias
114
12
0
11 May 2020
DiffTaichi: Differentiable Programming for Physical Simulation
DiffTaichi: Differentiable Programming for Physical Simulation
Yuanming Hu
Luke Anderson
Tzu-Mao Li
Qi Sun
N. Carr
Jonathan Ragan-Kelley
F. Durand
63
385
0
01 Oct 2019
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable
  Objects, and Fluids
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
Yunzhu Li
Jiajun Wu
Russ Tedrake
J. Tenenbaum
Antonio Torralba
PINNAI4CE
80
397
0
03 Oct 2018
A Data-Efficient Approach to Precise and Controlled Pushing
A Data-Efficient Approach to Precise and Controlled Pushing
Maria Bauzá
F. Hogan
Alberto Rodriguez
AI4CE
57
58
0
26 Jul 2018
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
Connor Schenck
Dieter Fox
PINN3DPCAI4CE
233
162
0
15 Jun 2018
Combining Learned and Analytical Models for Predicting Action Effects
  from Sensory Data
Combining Learned and Analytical Models for Predicting Action Effects from Sensory Data
Alina Kloss
S. Schaal
Jeannette Bohg
63
86
0
11 Oct 2017
Goal-Driven Dynamics Learning via Bayesian Optimization
Goal-Driven Dynamics Learning via Bayesian Optimization
Somil Bansal
Roberto Calandra
Ted Xiao
Sergey Levine
Claire Tomlin
51
114
0
27 Mar 2017
A Differentiable Physics Engine for Deep Learning in Robotics
A Differentiable Physics Engine for Deep Learning in Robotics
Jonas Degrave
Michiel Hermans
J. Dambre
Francis Wyffels
PINNAI4CE
77
230
0
05 Nov 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
1