Copertina

Dialogue Possibilities between a Human Supervisor and UAM Air Traffic Management: Route Alteration

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kim, Jeongseok, Kim, Kangjin
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Artificial Intelligence Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Intent-Driven UAM Rescheduling
di: Kim, Jeongseok, et al.
Pubblicazione: (2025)

Reinforcement Learning from Implicit Neural Feedback for Human-Aligned Robot Control
di: Kim, Suzie
Pubblicazione: (2025)

LLM-based Human-like Traffic Simulation for Self-driving Tests
di: Li, Wendi, et al.
Pubblicazione: (2025)

Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback
di: Kim, Suzie, et al.
Pubblicazione: (2025)

A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation
di: Larter, Scott, et al.
Pubblicazione: (2022)

Accelerating Reinforcement Learning via Error-Related Human Brain Signals
di: Kim, Suzie, et al.
Pubblicazione: (2025)

Real-Time Communication-Aware Ride-Sharing Route Planning for Urban Air Mobility: A Multi-Source Hybrid Attention Reinforcement Learning Approach
di: Xie, Yuejiao, et al.
Pubblicazione: (2025)

MA3DSG: Multi-Agent 3D Scene Graph Generation for Large-Scale Indoor Environments
di: Kim, Yirum, et al.
Pubblicazione: (2026)

Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind Spots
di: Kim, Jinyeob, et al.
Pubblicazione: (2024)

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic
di: Rahmani, Saeed, et al.
Pubblicazione: (2026)

Automated Vehicles at Unsignalized Intersections: Safety and Efficiency Implications of Mixed Human and Automated Traffic
di: Rahmani, Saeed, et al.
Pubblicazione: (2024)

Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied Agents
di: Kim, Byeonghwi, et al.
Pubblicazione: (2023)

Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples
di: Kim, Taewoong, et al.
Pubblicazione: (2024)

Learning Dexterous Bimanual Catch Skills through Adversarial-Cooperative Heterogeneous-Agent Reinforcement Learning
di: Kim, Taewoo, et al.
Pubblicazione: (2025)

Online Action-Stacking Improves Reinforcement Learning Performance for Air Traffic Control
di: Carvell, Ben, et al.
Pubblicazione: (2026)

Learning to Transfer Human Hand Skills for Robot Manipulations
di: Park, Sungjae, et al.
Pubblicazione: (2025)

Transformable Gaussian Reward Function for Socially-Aware Navigation with Deep Reinforcement Learning
di: Kim, Jinyeob, et al.
Pubblicazione: (2024)

ReALFRED: An Embodied Instruction Following Benchmark in Photo-Realistic Environments
di: Kim, Taewoong, et al.
Pubblicazione: (2024)

Language-Driven Interactive Traffic Trajectory Generation
di: Xia, Junkai, et al.
Pubblicazione: (2024)

LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning
di: Kim, Chan, et al.
Pubblicazione: (2025)

Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy
di: Cho, Jung-Hoon, et al.
Pubblicazione: (2023)

Persistent Autoregressive Mapping with Traffic Rules for Autonomous Driving
di: Liang, Shiyi, et al.
Pubblicazione: (2025)

Interaction Dataset of Autonomous Vehicles with Traffic Lights and Signs
di: Li, Zheng, et al.
Pubblicazione: (2025)

Right in Time: Reactive Reasoning in Regulated Traffic Spaces
di: Kohaut, Simon, et al.
Pubblicazione: (2026)

Integrating Symbolic RL Planning into a BDI-based Autonomous UAV Framework: System Integration and SIL Validation
di: Jeon, Sangwoo, et al.
Pubblicazione: (2025)

Active Test-time Vision-Language Navigation
di: Ko, Heeju, et al.
Pubblicazione: (2025)

From Real-World Traffic Data to Relevant Critical Scenarios
di: Lüttner, Florian, et al.
Pubblicazione: (2025)

Test Automation for Interactive Scenarios via Promptable Traffic Simulation
di: Mondelli, Augusto, et al.
Pubblicazione: (2025)

Self-Corrective Task Planning by Inverse Prompting with Large Language Models
di: Lee, Jiho, et al.
Pubblicazione: (2025)

Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach
di: Kim, Dohyeong, et al.
Pubblicazione: (2024)

Comprehensive Autonomous Vehicle Optimal Routing With Dynamic Heuristics
di: V, Ragav, et al.
Pubblicazione: (2024)

ASBI: Leveraging Informative Real-World Data for Active Black-Box Simulator Tuning
di: Kim, Gahee, et al.
Pubblicazione: (2025)

Cluster-based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract)
di: Kim, Taeyoung, et al.
Pubblicazione: (2022)

AirIMU: Learning Uncertainty Propagation for Inertial Odometry
di: Qiu, Yuheng, et al.
Pubblicazione: (2023)

Proprioceptive External Torque Learning for Floating Base Robot and its Applications to Humanoid Locomotion
di: Lim, Daegyu, et al.
Pubblicazione: (2023)

Multi-Stage Cable Routing through Hierarchical Imitation Learning
di: Luo, Jianlan, et al.
Pubblicazione: (2023)

Personalized and Context-aware Route Planning for Edge-assisted Vehicles
di: Selvaraj, Dinesh Cyril, et al.
Pubblicazione: (2024)

Learning Quadrupedal Locomotion for a Heavy Hydraulic Robot Using an Actuator Model
di: Lee, Minho, et al.
Pubblicazione: (2026)

Learning Dexterous Grasping from Sparse Taxonomy Guidance
di: Park, Juhan, et al.
Pubblicazione: (2026)

Safe Uncertainty-Aware Learning of Robotic Suturing
di: Empleo, Wilbert Peter, et al.
Pubblicazione: (2025)