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2402.05872
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You've Got to Feel It To Believe It: Multi-Modal Bayesian Inference for Semantic and Property Prediction
8 February 2024
Parker Ewen
Hao Chen
Yuzhen Chen
Anran Li
Anup Bagali
Gitesh Gunjal
Ram Vasudevan
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Papers citing
"You've Got to Feel It To Believe It: Multi-Modal Bayesian Inference for Semantic and Property Prediction"
8 / 8 papers shown
Title
Neural Fidelity Calibration for Informative Sim-to-Real Adaptation
Youwei Yu
Lantao Liu
24
0
0
11 Apr 2025
AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation
Taimeng Fu
Zitong Zhan
Zhipeng Zhao
Shaoshu Su
Xiao Lin
Ehsan Esfahani
Karthik Dantu
Souma Chowdhury
Chen Wang
77
1
0
22 Jan 2025
LatentBKI: Open-Dictionary Continuous Mapping in Visual-Language Latent Spaces with Quantifiable Uncertainty
Joey Wilson
Ruihan Xu
Yile Sun
Parker Ewen
Minghan Zhu
Kira Barton
Maani Ghaffari
31
0
0
15 Oct 2024
AMCO: Adaptive Multimodal Coupling of Vision and Proprioception for Quadruped Robot Navigation in Outdoor Environments
Mohamed Bashir Elnoor
K. Weerakoon
A. Sathyamoorthy
Tianrui Guan
Vignesh Rajagopal
Dinesh Manocha
28
2
0
20 Mar 2024
The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning
Carmelo Sferrazza
Younggyo Seo
Hao Liu
Youngwoon Lee
Pieter Abbeel
43
14
0
02 Nov 2023
These Maps Are Made For Walking: Real-Time Terrain Property Estimation for Mobile Robots
Parker Ewen
Adam Li
Yuxin Chen
Steven Hong
Ram Vasudevan
36
27
0
25 May 2022
Online and Distributed learning of Gaussian mixture models by Bayesian Moment Matching
P. Jaini
Pascal Poupart
11
14
0
19 Sep 2016
Indoor Semantic Segmentation using depth information
Camille Couprie
C. Farabet
Laurent Najman
Yann LeCun
SSeg
MDE
59
473
0
16 Jan 2013
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