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. 2007.05616
  4. Cited By
NaviGAN: A Generative Approach for Socially Compliant Navigation

NaviGAN: A Generative Approach for Socially Compliant Navigation

10 July 2020
Chieh-En Tsai
Jean Oh
ArXivPDFHTML

Papers citing "NaviGAN: A Generative Approach for Socially Compliant Navigation"

4 / 4 papers shown
Title
Characterizing the Complexity of Social Robot Navigation Scenarios
Characterizing the Complexity of Social Robot Navigation Scenarios
Andrew Stratton
Kris K. Hauser
Christoforos Mavrogiannis
56
1
0
18 May 2024
Core Challenges in Embodied Vision-Language Planning
Core Challenges in Embodied Vision-Language Planning
Jonathan M Francis
Nariaki Kitamura
Felix Labelle
Xiaopeng Lu
Ingrid Navarro
Jean Oh
LM&Ro
47
45
0
26 Jun 2021
Motion Planning Among Dynamic, Decision-Making Agents with Deep
  Reinforcement Learning
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
146
509
0
04 May 2018
Decentralized Non-communicating Multiagent Collision Avoidance with Deep
  Reinforcement Learning
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen
Miao Liu
Michael Everett
Jonathan P. How
187
583
0
26 Sep 2016
1