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. 1710.05627
  4. Cited By
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed
  Autonomous Navigation

Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation

16 October 2017
Wei Gao
David Hsu
Wee Sun Lee
Shengmei Shen
K. Subramanian
ArXivPDFHTML

Papers citing "Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation"

28 / 28 papers shown
Title
Real-time Neural Network Inference on Extremely Weak Devices: Agile
  Offloading with Explainable AI
Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI
Kai Huang
Wei Gao
22
35
0
21 Dec 2023
Hybrid Search for Efficient Planning with Completeness Guarantees
Hybrid Search for Efficient Planning with Completeness Guarantees
Kalle Kujanpää
Joni Pajarinen
Alexander Ilin
29
3
0
19 Oct 2023
Virtual Guidance as a Mid-level Representation for Navigation with Augmented Reality
Virtual Guidance as a Mid-level Representation for Navigation with Augmented Reality
Hsuan-Kung Yang
Tsung-Chih Chiang
Tingxin Liu
Chun-Wei Huang
Jou-Min Liu
Tsu-Ching Hsiao
Chun-Yi Lee
28
1
0
05 Mar 2023
Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable
  Automated Driving
Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving
Dikshant Gupta
Matthias Klusch
23
2
0
30 Dec 2022
Interaction-aware Decision-making for Automated Vehicles using Social
  Value Orientation
Interaction-aware Decision-making for Automated Vehicles using Social Value Orientation
Luca Crosato
Hubert P. H. Shum
Edmond S. L. Ho
Chongfeng Wei
22
50
0
12 Jul 2022
Learning-Based Motion Planning with Mixture Density Networks
Learning-Based Motion Planning with Mixture Density Networks
Yinghan Wang
Xiaoming Duan
Jianping He
3DPC
17
0
0
07 Jun 2022
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal
  Search
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
Michał Zawalski
Michał Tyrolski
K. Czechowski
Tomasz Odrzygó'zd'z
Damian Stachura
Piotr Pikekos
Yuhuai Wu
Lukasz Kuciñski
Piotr Milo's
LRM
21
8
0
01 Jun 2022
Generalizing to New Tasks via One-Shot Compositional Subgoals
Generalizing to New Tasks via One-Shot Compositional Subgoals
Xihan Bian
Oscar Alejandro Mendez Maldonado
Simon Hadfield
CLL
OffRL
32
1
0
16 May 2022
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive
  Deep Reinforcement Learning
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning
Peide Cai
Sukai Wang
Hengli Wang
Ming Liu
AI4TS
24
15
0
17 Sep 2021
APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback
APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback
Zizhao Wang
Xuesu Xiao
Garrett A. Warnell
Peter Stone
25
44
0
22 Aug 2021
Hierarchically Integrated Models: Learning to Navigate from
  Heterogeneous Robots
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots
Katie Kang
G. Kahn
Sergey Levine
37
5
0
24 Jun 2021
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps
Chengguang Xu
Chris Amato
Lawson L. S. Wong
22
6
0
07 Jun 2021
REGRAD: A Large-Scale Relational Grasp Dataset for Safe and
  Object-Specific Robotic Grasping in Clutter
REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter
Hanbo Zhang
Deyu Yang
Han Wang
Binglei Zhao
Xuguang Lan
Jishiyu Ding
Nanning Zheng
44
40
0
29 Apr 2021
End-to-End Interactive Prediction and Planning with Optical Flow
  Distillation for Autonomous Driving
End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving
Hengli Wang
Peide Cai
Rui Fan
Yuxiang Sun
Ming Liu
40
23
0
18 Apr 2021
NavTuner: Learning a Scene-Sensitive Family of Navigation Policies
NavTuner: Learning a Scene-Sensitive Family of Navigation Policies
Haoxin Ma
Justin S. Smith
Patricio A. Vela
23
4
0
02 Mar 2021
Robot Navigation in Constrained Pedestrian Environments using
  Reinforcement Learning
Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning
Claudia Pérez-DÁrpino
Can Liu
P. Goebel
Roberto Martín-Martín
Silvio Savarese
39
65
0
16 Oct 2020
Autonomous Navigation in Complex Environments with Deep Multimodal
  Fusion Network
Autonomous Navigation in Complex Environments with Deep Multimodal Fusion Network
A. Nguyen
Ngoc Son Nguyen
K. Tran
Erman Tjiputra
Quang-Dieu Tran
15
39
0
31 Jul 2020
Toward Agile Maneuvers in Highly Constrained Spaces: Learning from
  Hallucination
Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination
Xuesu Xiao
Bo Liu
Garrett A. Warnell
Peter Stone
23
54
0
28 Jul 2020
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic
  Environments with Multimodal Sensor Fusion
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion
Peide Cai
Sukai Wang
Yuxiang Sun
Ming Liu
38
70
0
05 May 2020
Spatial Action Maps for Mobile Manipulation
Spatial Action Maps for Mobile Manipulation
Jimmy Wu
Xingyuan Sun
Andy Zeng
Shuran Song
Johnny Lee
Szymon Rusinkiewicz
Thomas Funkhouser
24
71
0
20 Apr 2020
Visual Navigation Among Humans with Optimal Control as a Supervisor
Visual Navigation Among Humans with Optimal Control as a Supervisor
Varun Tolani
Somil Bansal
Aleksandra Faust
Claire Tomlin
17
39
0
20 Mar 2020
DeepGoal: Learning to Drive with driving intention from Human Control
  Demonstration
DeepGoal: Learning to Drive with driving intention from Human Control Demonstration
Huifang Ma
Yue Wang
R. Xiong
S. Kodagoda
Li Tang
23
6
0
28 Nov 2019
Deep Local Trajectory Replanning and Control for Robot Navigation
Deep Local Trajectory Replanning and Control for Robot Navigation
Ashwini Pokle
Roberto Martín-Martín
P. Goebel
Vincent Chow
H. Ewald
...
Zhenkai Wang
Amir Sadeghian
Dorsa Sadigh
Silvio Savarese
Marynel Vázquez
24
62
0
13 May 2019
Combining Optimal Control and Learning for Visual Navigation in Novel
  Environments
Combining Optimal Control and Learning for Visual Navigation in Novel Environments
Somil Bansal
Varun Tolani
Saurabh Gupta
Jitendra Malik
Claire Tomlin
13
162
0
06 Mar 2019
Variational End-to-End Navigation and Localization
Variational End-to-End Navigation and Localization
Alexander Amini
Guy Rosman
S. Karaman
Daniela Rus
22
111
0
25 Nov 2018
Learning Navigation Behaviors End-to-End with AutoRL
Learning Navigation Behaviors End-to-End with AutoRL
H. Chiang
Aleksandra Faust
Marek Fiser
Anthony G. Francis
8
234
0
26 Sep 2018
Reactive Reinforcement Learning in Asynchronous Environments
Reactive Reinforcement Learning in Asynchronous Environments
Jaden B. Travnik
K. Mathewson
R. Sutton
P. Pilarski
11
31
0
16 Feb 2018
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
246
809
0
13 Nov 2016
1