mlsanityData to 7 Oct 2026

Conflict Avoidance in Social Navigation -- a Survey

arXiv 2106.12113 ↗First posted 23 Jun 2021cs.RO cs.AI cs.HCcited by 13

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Abstract (arXiv)

A major goal in robotics is to enable intelligent mobile robots to operate smoothly in shared human-robot environments. One of the most fundamental capabilities in service of this goal is competent navigation in this ``social" context. As a result, there has been a recent surge of research on social navigation; and especially as it relates to the handling of conflicts between agents during social navigation. These developments introduce a variety of models and algorithms, however as this research area is inherently interdisciplinary, many of the relevant papers are not comparable and there is no shared standard vocabulary. This survey aims to bridge this gap by introducing such a common language, using it to survey existing work, and highlighting open problems. It starts by defining the boundaries of this survey to a limited, yet highly common type of social navigation - conflict avoidance. Within this proposed scope, this survey introduces a detailed taxonomy of the conflict avoidance components. This survey then maps existing work into this taxonomy, while discussing papers using its framing. Finally, this paper proposes some future research directions and open problems that are currently on the frontier of social navigation to aid ongoing and future research.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 24 of its 189 references that are in the map. First posted on arXiv 23 Jun 2021.

Builds on

24 of 189 references.

References · 24

  1. 2018Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learningcited by 162
  2. 2017Socially Aware Motion Planning with Deep Reinforcement Learningcited by 128
  3. 2016Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learningcited by 104
  4. 2018Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learningcited by 101
  5. 2021Core Challenges of Social Robot Navigation: A Surveycited by 97
  6. 2017Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learningcited by 81
  7. 2021Semantics for Robotic Mapping, Perception and Interaction: A Surveycited by 56
  8. 2017Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learningcited by 50
  9. 2020Motion Planning and Control for Mobile Robot Navigation Using Machine Learning: a Surveycited by 48
  10. 2020The EMPATHIC Framework for Task Learning from Implicit Human Feedbackcited by 38
  11. 2019Scaling Local Control to Large-Scale Topological Navigationcited by 37
  12. 2021A Survey on Human-aware Robot Navigationcited by 23
12 more
  1. 2017A Review and Analysis of Eye-Gaze Estimation Systems, Algorithms and Performance Evaluation Methods in Consumer Platformscited by 19
  2. 2020SEAN: Social Environment for Autonomous Navigationcited by 18
  3. 2019Understanding Teacher Gaze Patterns for Robot Learningcited by 12
  4. 2019Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scanscited by 7
  5. 2017SocioSense: Robot Navigation Amongst Pedestrians with Social and Psychological Constraintscited by 6
  6. 2018Hierarchical Reinforcement Learning Framework towards Multi-agent Navigationcited by 6
  7. 2019Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changescited by 6
  8. 2019Following Social Groups: Socially Compliant Autonomous Navigation in Dense Crowdscited by 6
  9. 2020Mobile Robot Path Planning in Dynamic Environments: A Surveycited by 5
  10. 2020Autonomous Social Distancing in Urban Environments using a Quadruped Robotcited by 4
  11. 2017Role Playing Learning for Socially Concomitant Mobile Robot Navigationcited by 3
  12. 2019Unclogging Our Arteries: Using Human-Inspired Signals to Disambiguate Navigational Intentionscited by 2

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Citing papers per year: 2022: 1; 2023: 3; 2024: 4; 2025: 2; 2026: 3.

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