Papers Social Navigation
“Social Navigation” 태그가 달린 논문 69편 · 필터 해제
HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction
Real-time human perception is crucial for effective human-robot interaction (HRI). Large vision-language models (VLMs) offer promising generalizable perceptual capabilities but often suffer from high latency, which negat…
BenchmarkingPerson IdentificationQuestion AnsweringSocial Navigation+2PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications
Robust navigation in diverse environments and domains requires both accurate state estimation and transparent decision making. We present PhysNav-DG, a novel framework that integrates classical sensor fusion with the sem…
Autonomous DrivingSensor FusionSocial NavigationState EstimationPerspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation
Navigating in environments alongside humans requires agents to reason under uncertainty and account for the beliefs and intentions of those around them. Under a sequential decision-making framework, egocentric navigation…
Decision MakingModel-based Reinforcement LearningRobot NavigationSequential Decision Making+1COLSON: Controllable Learning-Based Social Navigation via Diffusion-Based Reinforcement Learning
Mobile robot navigation in dynamic environments with pedestrian traffic is a key challenge in the development of autonomous mobile service robots. Recently, deep reinforcement learning-based methods have been actively st…
Deep Reinforcement Learningreinforcement-learningReinforcement LearningRobot Navigation+1EmoBipedNav: Emotion-aware Social Navigation for Bipedal Robots with Deep Reinforcement Learning
This study presents an emotion-aware navigation framework -- EmoBipedNav -- using deep reinforcement learning (DRL) for bipedal robots walking in socially interactive environments. The inherent locomotion constraints of …
Deep Reinforcement LearningSocial NavigationSafe and Efficient Social Navigation through Explainable Safety Regions Based on Topological Features
The recent adoption of artificial intelligence (AI) in robotics has driven the development of algorithms that enable autonomous systems to adapt to complex social environments. In particular, safe and efficient social na…
Social NavigationTopological Data AnalysisIn Search of a Lost Metric: Human Empowerment as a Pillar of Socially Conscious Navigation
In social robot navigation, traditional metrics like proxemics and behavior naturalness emphasize human comfort and adherence to social norms but often fail to capture an agent's autonomy and adaptability in dynamic envi…
Robot NavigationSocial NavigationSocRATES: Towards Automated Scenario-based Testing of Social Navigation Algorithms
Current social navigation methods and benchmarks primarily focus on proxemics and task efficiency. While these factors are important, qualitative aspects such as perceptions of a robot's social competence are equally cru…
Code GenerationSocial NavigationTranslationTHÖR-MAGNI Act: Actions for Human Motion Modeling in Robot-Shared Industrial Spaces
Accurate human activity and trajectory prediction are crucial for ensuring safe and reliable human-robot interactions in dynamic environments, such as industrial settings, with mobile robots. Datasets with fine-grained a…
PredictionSocial NavigationTrajectory PredictionDR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation
How can a robot safely navigate around people with complex motion patterns? Deep Reinforcement Learning (DRL) in simulation holds some promise, but much prior work relies on simulators that fail to capture the nuances of…
Deep Reinforcement LearningModel Predictive ControlNavigateReinforcement Learning (RL)+1LocoVR: Multiuser Indoor Locomotion Dataset in Virtual Reality
Understanding human locomotion is crucial for AI agents such as robots, particularly in complex indoor home environments. Modeling human trajectories in these spaces requires insight into how individuals maneuver around …
Social NavigationGSON: A Group-based Social Navigation Framework with Large Multimodal Model
With the increasing presence of service robots and autonomous vehicles in human environments, navigation systems need to evolve beyond simple destination reach to incorporate social awareness. This paper introduces GSON,…
Autonomous VehiclesMotion PlanningPedestrian DetectionRobot Navigation+3From Cognition to Precognition: A Future-Aware Framework for Social Navigation
To navigate safely and efficiently in crowded spaces, robots should not only perceive the current state of the environment but also anticipate future human movements. In this paper, we propose a reinforcement learning ar…
Future predictionNavigateSocial NavigationArena 4.0: A Comprehensive ROS2 Development and Benchmarking Platform for Human-centric Navigation Using Generative-Model-based Environment Generation
Building on the foundations of our previous work, this paper introduces Arena 4.0, a significant advancement over Arena 3.0, Arena-Bench, Arena 1.0, and Arena 2.0. Arena 4.0 offers three key novel contributions: (1) a ge…
BenchmarkingSocial NavigationDisentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning
Autonomous mobile robots are increasingly used in pedestrian-rich environments where safe navigation and appropriate human interaction are crucial. While Deep Reinforcement Learning (DRL) enables socially integrated robo…
Collision AvoidanceDecision MakingDeep Reinforcement LearningNavigate+3SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning
Reinforcement learning (RL) enables social robots to generate trajectories without relying on human-designed rules or interventions, making it generally more effective than rule-based systems in adapting to complex, dyna…
reinforcement-learningReinforcement LearningReinforcement Learning (RL)Social NavigationHyp2Nav: Hyperbolic Planning and Curiosity for Crowd Navigation
Autonomous robots are increasingly becoming a strong fixture in social environments. Effective crowd navigation requires not only safe yet fast planning, but should also enable interpretability and computational efficien…
Computational EfficiencyDecision MakingSocial NavigationLearning Social Cost Functions for Human-Aware Path Planning
Achieving social acceptance is one of the main goals of Social Robotic Navigation. Despite this topic has received increasing interest in recent years, most of the research has focused on driving the robotic agent along …
Social NavigationMetaUrban: An Embodied AI Simulation Platform for Urban Micromobility
Public urban spaces like streetscapes and plazas serve residents and accommodate social life in all its vibrant variations. Recent advances in Robotics and Embodied AI make public urban spaces no longer exclusive to huma…
Imitation LearningSocial NavigationOnline Context Learning for Socially Compliant Navigation
Robot social navigation needs to adapt to different human factors and environmental contexts. However, since these factors and contexts are difficult to predict and cannot be exhaustively enumerated, traditional learning…
Deep Reinforcement LearningRobot NavigationSocial Navigation