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Multimodal Sensor Fusion with Differentiable Filters

Multimodal Sensor Fusion with Differentiable Filters

25 October 2020
Michelle A. Lee
Brent Yi
Roberto Martín-Martín
Silvio Savarese
Jeannette Bohg
ArXivPDFHTML

Papers citing "Multimodal Sensor Fusion with Differentiable Filters"

37 / 37 papers shown
Title
DnD Filter: Differentiable State Estimation for Dynamic Systems using Diffusion Models
Ziyu Wan
Lin Zhao
DiffM
71
0
0
03 Mar 2025
Learning Visuotactile Estimation and Control for Non-prehensile
  Manipulation under Occlusions
Learning Visuotactile Estimation and Control for Non-prehensile Manipulation under Occlusions
Juan Del Aguila Ferrandis
João Moura
S. Vijayakumar
73
4
0
17 Dec 2024
Multimodal Information Bottleneck for Deep Reinforcement Learning with
  Multiple Sensors
Multimodal Information Bottleneck for Deep Reinforcement Learning with Multiple Sensors
Bang You
Huaping Liu
SSL
25
5
0
23 Oct 2024
Robot See Robot Do: Imitating Articulated Object Manipulation with
  Monocular 4D Reconstruction
Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction
Justin Kerr
C. Kim
Mingxuan Wu
Brent Yi
Qianqian Wang
Ken Goldberg
Angjoo Kanazawa
23
13
0
26 Sep 2024
Towards Interpretable Visuo-Tactile Predictive Models for Soft Robot
  Interactions
Towards Interpretable Visuo-Tactile Predictive Models for Soft Robot Interactions
Enrico Donato
T. G. Thuruthel
Egidio Falotico
23
1
0
16 Jul 2024
The Artificial Neural Twin -- Process Optimization and Continual
  Learning in Distributed Process Chains
The Artificial Neural Twin -- Process Optimization and Continual Learning in Distributed Process Chains
Johannes Emmert
Ronald Mendez
Houman Mirzaalian Dastjerdi
Christopher Syben
Andreas K. Maier
AI4CE
18
0
0
27 Mar 2024
iRoCo: Intuitive Robot Control From Anywhere Using a Smartwatch
iRoCo: Intuitive Robot Control From Anywhere Using a Smartwatch
F. Weigend
Xiao Liu
Shubham D. Sonawani
Neelesh Kumar
Venu Vasudevan
H. B. Amor
27
3
0
11 Mar 2024
In Defense and Revival of Bayesian Filtering for Thermal Infrared Object
  Tracking
In Defense and Revival of Bayesian Filtering for Thermal Infrared Object Tracking
Peng Gao
Shi-Min Li
Feng Gao
Fei-Yue Wang
Ruyue Yuan
Hamido Fujita
27
8
0
27 Feb 2024
Learning active tactile perception through belief-space control
Learning active tactile perception through belief-space control
J. Tremblay
D. Meger
F. Hogan
Gregory Dudek
37
1
0
30 Nov 2023
Multimodal Learning of Soft Robot Dynamics using Differentiable Filters
Multimodal Learning of Soft Robot Dynamics using Differentiable Filters
Xiao Liu
Yifan Zhou
Shuhei Ikemoto
H. B. Amor
8
0
0
12 Nov 2023
MultiIoT: Benchmarking Machine Learning for the Internet of Things
MultiIoT: Benchmarking Machine Learning for the Internet of Things
Shentong Mo
Louis-Philippe Morency
Russ Salakhutdinov
Paul Pu Liang
24
1
0
10 Nov 2023
Streaming Motion Forecasting for Autonomous Driving
Streaming Motion Forecasting for Autonomous Driving
Ziqi Pang
Deva Ramanan
Mengtian Li
Yu-xiong Wang
AI4TS
26
6
0
02 Oct 2023
RegBN: Batch Normalization of Multimodal Data with Regularization
RegBN: Batch Normalization of Multimodal Data with Regularization
Morteza Ghahremani
Christian Wachinger
28
6
0
01 Oct 2023
Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous
  Driving via Differentiable Multi-Sensor Kalman Filter
Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter
Hsu-kuang Chiu
Chien-Yi Wang
Min-Hung Chen
Stephen F. Smith
11
3
0
26 Sep 2023
Learning Covariances for Estimation with Constrained Bilevel
  Optimization
Learning Covariances for Estimation with Constrained Bilevel Optimization
Mohamad Qadri
Zachary Manchester
Michael Kaess
24
4
0
18 Sep 2023
Learning Vision-based Pursuit-Evasion Robot Policies
Learning Vision-based Pursuit-Evasion Robot Policies
Andrea V. Bajcsy
Antonio Loquercio
Ashish Kumar
Jitendra Malik
27
10
0
30 Aug 2023
Enhancing State Estimation in Robots: A Data-Driven Approach with
  Differentiable Ensemble Kalman Filters
Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters
Xinyu Liu
Geoffrey Clark
Joseph Campbell
Yifan Zhou
H. B. Amor
23
10
0
19 Aug 2023
Learning Soft Robot Dynamics using Differentiable Kalman Filters and
  Spatio-Temporal Embeddings
Learning Soft Robot Dynamics using Differentiable Kalman Filters and Spatio-Temporal Embeddings
Xinyu Liu
Shuhei Ikemoto
Yuhei Yoshimitsu
H. B. Amor
38
5
0
19 Aug 2023
MultiZoo & MultiBench: A Standardized Toolkit for Multimodal Deep
  Learning
MultiZoo & MultiBench: A Standardized Toolkit for Multimodal Deep Learning
Paul Pu Liang
Yiwei Lyu
Xiang Fan
Arav Agarwal
Yun Cheng
Louis-Philippe Morency
Ruslan Salakhutdinov
VLM
31
6
0
28 Jun 2023
Online Estimation of Self-Body Deflection With Various Sensor Data Based
  on Directional Statistics
Online Estimation of Self-Body Deflection With Various Sensor Data Based on Directional Statistics
Hiroya Sato
Kento Kawaharazuka
Tasuku Makabe
K. Okada
Masayuki Inaba
14
0
0
06 Jun 2023
DNBP: Differentiable Nonparametric Belief Propagation
DNBP: Differentiable Nonparametric Belief Propagation
Anthony Opipari
Jana Pavlasek
Chao Chen
Shoutian Wang
Karthik Desingh
Odest Chadwicke Jenkins
6
3
0
08 Mar 2023
Quantifying & Modeling Multimodal Interactions: An Information
  Decomposition Framework
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
Paul Pu Liang
Yun Cheng
Xiang Fan
Chun Kai Ling
Suzanne Nie
...
Nicholas B. Allen
Randy P. Auerbach
Faisal Mahmood
Ruslan Salakhutdinov
Louis-Philippe Morency
30
29
0
23 Feb 2023
An overview of differentiable particle filters for data-adaptive
  sequential Bayesian inference
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference
Xiongjie Chen
Yunpeng Li
28
14
0
19 Feb 2023
See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation
See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation
Hao Li
Yizhi Zhang
Junzhe Zhu
Shaoxiong Wang
Michelle A. Lee
Huazhe Xu
Edward H. Adelson
Li Fei-Fei
Ruohan Gao
Jiajun Wu
24
58
0
07 Dec 2022
Multimodal Learning for Multi-Omics: A Survey
Multimodal Learning for Multi-Omics: A Survey
Sina Tabakhi
M. N. I. Suvon
Pegah Ahadian
Haiping Lu
15
9
0
29 Nov 2022
Category-Independent Articulated Object Tracking with Factor Graphs
Category-Independent Articulated Object Tracking with Factor Graphs
Nick Heppert
Toki Migimatsu
Brent Yi
Claire Chen
Jeannette Bohg
27
22
0
07 May 2022
Learning Sequential Latent Variable Models from Multimodal Time Series
  Data
Learning Sequential Latent Variable Models from Multimodal Time Series Data
Oliver Limoyo
Trevor Ablett
Jonathan Kelly
17
5
0
21 Apr 2022
Brainish: Formalizing A Multimodal Language for Intelligence and
  Consciousness
Brainish: Formalizing A Multimodal Language for Intelligence and Consciousness
Paul Pu Liang
22
4
0
14 Apr 2022
Symbolic State Estimation with Predicates for Contact-Rich Manipulation
  Tasks
Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks
Toki Migimatsu
Wenzhao Lian
Jeannette Bohg
S. Schaal
24
10
0
04 Mar 2022
High-Modality Multimodal Transformer: Quantifying Modality & Interaction
  Heterogeneity for High-Modality Representation Learning
High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning
Paul Pu Liang
Yiwei Lyu
Xiang Fan
Jeffrey Tsaw
Yudong Liu
Shentong Mo
Dani Yogatama
Louis-Philippe Morency
Ruslan Salakhutdinov
17
29
0
02 Mar 2022
Multi-Modal Fusion in Contact-Rich Precise Tasks via Hierarchical Policy
  Learning
Multi-Modal Fusion in Contact-Rich Precise Tasks via Hierarchical Policy Learning
Piaopiao Jin
Yi-Bin Lin
Yanchao Tan
Tiefeng Li
Wei Yang
16
1
0
17 Feb 2022
LEO: Learning Energy-based Models in Factor Graph Optimization
LEO: Learning Energy-based Models in Factor Graph Optimization
Paloma Sodhi
Eric Dexheimer
Mustafa Mukadam
Stuart Anderson
Michael Kaess
37
16
0
04 Aug 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
Paul Pu Liang
Yiwei Lyu
Xiang Fan
Zetian Wu
Yun Cheng
...
Peter Wu
Michelle A. Lee
Yuke Zhu
Ruslan Salakhutdinov
Louis-Philippe Morency
VLM
29
158
0
15 Jul 2021
Differentiable Factor Graph Optimization for Learning Smoothers
Differentiable Factor Graph Optimization for Learning Smoothers
Brent Yi
Michelle A. Lee
Alina Kloss
Roberto Martín-Martín
Jeannette Bohg
11
28
0
18 May 2021
Neural Motion Prediction for In-flight Uneven Object Catching
Neural Motion Prediction for In-flight Uneven Object Catching
Hongxiang Yu
Dashun Guo
Huan Yin
An-Jen Chen
Kechun Xu
Yue Wang
R. Xiong
11
10
0
15 Mar 2021
Differentiable Nonparametric Belief Propagation
Differentiable Nonparametric Belief Propagation
Anthony Opipari
Chao Chen
Shoutian Wang
Jana Pavlasek
Karthik Desingh
Odest Chadwicke Jenkins
11
5
0
15 Jan 2021
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors
Michelle A. Lee
Matthew Tan
Yuke Zhu
Jeannette Bohg
38
25
0
01 Dec 2020
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