ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1705.10422
  4. Cited By
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation

Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation

30 May 2017
Guan-Horng Liu
Avinash Siravuru
Sai P. Selvaraj
Manuela Veloso
George Kantor
ArXivPDFHTML

Papers citing "Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation"

15 / 15 papers shown
Title
BronchoCopilot: Towards Autonomous Robotic Bronchoscopy via Multimodal
  Reinforcement Learning
BronchoCopilot: Towards Autonomous Robotic Bronchoscopy via Multimodal Reinforcement Learning
Jianbo Zhao
Hao Chen
Qingyao Tian
Jian Chen
Bingyu Yang
Hongbin Liu
37
1
0
03 Mar 2024
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive
  Anomaly Detection in Field Robot Navigation
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation
Jihun Han
Tianchen Ji
Yoonsang Lee
Katherine Driggs-Campbell
30
3
0
28 Sep 2023
Effective Multimodal Reinforcement Learning with Modality Alignment and
  Importance Enhancement
Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement
Jinming Ma
Feng Wu
Yingfeng Chen
Xianpeng Ji
Yu-qiong Ding
OffRL
33
4
0
18 Feb 2023
Masked Imitation Learning: Discovering Environment-Invariant Modalities
  in Multimodal Demonstrations
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations
Yilun Hao
Ruinan Wang
Zhangjie Cao
Zihan Wang
Yuchen Cui
Dorsa Sadigh
33
2
0
16 Sep 2022
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
49
25
0
01 Dec 2020
Multimodal End-to-End Learning for Autonomous Steering in Adverse Road
  and Weather Conditions
Multimodal End-to-End Learning for Autonomous Steering in Adverse Road and Weather Conditions
Jyri Maanpää
Josef Taher
P. Manninen
Leo Pakola
Iaroslav Melekhov
Juha Hyyppa
20
15
0
28 Oct 2020
Deep Reinforcement Learning with Population-Coded Spiking Neural Network
  for Continuous Control
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control
Guangzhi Tang
Neelesh Kumar
Raymond Yoo
Konstantinos Michmizos
54
74
0
19 Oct 2020
MADRaS : Multi Agent Driving Simulator
MADRaS : Multi Agent Driving Simulator
Anirban Santara
S. Rudra
Sree Aditya Buridi
Meha Kaushik
A. Naik
Bharat Kaul
Balaraman Ravindran
23
30
0
02 Oct 2020
Multi-modal Experts Network for Autonomous Driving
Multi-modal Experts Network for Autonomous Driving
Shihong Fang
A. Choromańska
MoE
28
5
0
18 Sep 2020
Learning Selective Sensor Fusion for States Estimation
Learning Selective Sensor Fusion for States Estimation
Changhao Chen
Stefano Rosa
Chris Xiaoxuan Lu
Bing Wang
Niki Trigoni
Andrew Markham
22
20
0
30 Dec 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
Making Sense of Vision and Touch: Learning Multimodal Representations
  for Contact-Rich Tasks
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee
Yuke Zhu
Peter Zachares
Matthew Tan
K. Srinivasan
Silvio Savarese
Fei-Fei Li
Animesh Garg
Jeannette Bohg
SSL
23
208
0
28 Jul 2019
Risk Averse Robust Adversarial Reinforcement Learning
Risk Averse Robust Adversarial Reinforcement Learning
Xinlei Pan
Daniel Seita
Yang Gao
John F. Canny
AAML
16
96
0
31 Mar 2019
Deep Multi-modal Object Detection and Semantic Segmentation for
  Autonomous Driving: Datasets, Methods, and Challenges
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng
Christian Haase-Schuetz
Lars Rosenbaum
Heinz Hertlein
Claudius Gläser
Fabian Duffhauss
W. Wiesbeck
Klaus C. J. Dietmayer
3DPC
41
989
0
21 Feb 2019
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal
  Representations for Contact-Rich Tasks
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee
Yuke Zhu
K. Srinivasan
Parth Shah
Silvio Savarese
Li Fei-Fei
Animesh Garg
Jeannette Bohg
SSL
32
368
0
24 Oct 2018
1