Imagen de Portada

Human-in-the-Loop Pareto Optimization: Trade-off Characterization for Assist-as-Needed Training and Performance Evaluation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tolasa, Harun, Patoglu, Volkan
Formato:	Preprint
Publicado:	2026
Materias:	Robotics Artificial Intelligence Systems and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Haptic Rendering of Fractional-Order Viscoelasticity: Passivity and Rendering Fidelity
por: Gemalmaz, Gorkem, et al.
Publicado: (2026)

Active Learning of Fractional-Order Viscoelastic Model Parameters for Realistic Haptic Rendering
por: Tolasa, Harun, et al.
Publicado: (2025)

Necessary and Sufficient Conditions for Passivity of Velocity-Sourced Impedance Control of Series Elastic Actuators
por: Tosun, Fatih Emre, et al.
Publicado: (2019)

Simulation-based multi-criteria comparison of mono-articular and bi-articular exoskeletons during walking with and without load
por: Bonab, Ali KhalilianMotamed, et al.
Publicado: (2021)

Closing the Loop: Motion Prediction Models beyond Open-Loop Benchmarks
por: Bouzidi, Mohamed-Khalil, et al.
Publicado: (2025)

Human Robot Collaborative Assembly Planning: An Answer Set Programming Approach
por: Rizwan, Momina, et al.
Publicado: (2020)

Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
por: Wang, Han, et al.
Publicado: (2025)

Agentic Driving Coach: Robustness and Determinism of Agentic AI-Powered Human-in-the-Loop Cyber-Physical Systems
por: Prahlad, Deeksha, et al.
Publicado: (2026)

Exploration of the Assessment for AVP Algorithm Training in Underground Parking Garages Simulation Scenario
por: Li, Wenjin
Publicado: (2023)

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

ReAct! An Interactive Tool for Hybrid Planning in Robotics
por: Dogmus, Zeynep, et al.
Publicado: (2013)

A Formal Framework for Robot Construction Problems: A Hybrid Planning Approach
por: Ahmad, Faseeh, et al.
Publicado: (2019)

Training on the Fly: On-device Self-supervised Learning aboard Nano-drones within 20 mW
por: Cereda, Elia, et al.
Publicado: (2024)

Robust Pivoting Manipulation using Contact Implicit Bilevel Optimization
por: Shirai, Yuki, et al.
Publicado: (2023)

Reliable and Scalable Robot Policy Evaluation with Imperfect Simulators
por: Badithela, Apurva, et al.
Publicado: (2025)

ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization Updates
por: Puthumanaillam, Gokul, et al.
Publicado: (2024)

Control-Optimized Deep Reinforcement Learning for Artificially Intelligent Autonomous Systems
por: Fivel, Oren, et al.
Publicado: (2025)

Intelligent Electric Power Steering: Artificial Intelligence Integration Enhances Vehicle Safety and Performance
por: Vyas, Vikas, et al.
Publicado: (2024)

Bayesian Optimization for Automatic Tuning of Torque-Level Nonlinear Model Predictive Control
por: Fadini, Gabriele, et al.
Publicado: (2025)

Diffusion-Based Failure Sampling for Evaluating Safety-Critical Autonomous Systems
por: Delecki, Harrison, et al.
Publicado: (2024)

Hierarchical Contact-Rich Trajectory Optimization for Multi-Modal Manipulation using Tight Convex Relaxations
por: Shirai, Yuki, et al.
Publicado: (2025)

Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey
por: Tian, Zhen, et al.
Publicado: (2025)

Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots
por: Hu, Haimin, et al.
Publicado: (2024)

Communication- and Computation-Efficient Distributed Submodular Optimization in Robot Mesh Networks
por: Xu, Zirui, et al.
Publicado: (2024)

Design and Realization of a Benchmarking Testbed for Evaluating Autonomous Platooning Algorithms
por: Shaham, Michael, et al.
Publicado: (2024)

Performance-Aware Self-Configurable Multi-Agent Networks: A Distributed Submodular Approach for Simultaneous Coordination and Network Design
por: Xu, Zirui, et al.
Publicado: (2024)

Architecture Is All You Need: Diversity-Enabled Sweet Spots for Robust Humanoid Locomotion
por: Werner, Blake, et al.
Publicado: (2025)

Federated Split Learning for Resource-Constrained Robots in Industrial IoT: Framework Comparison, Optimization Strategies, and Future Directions
por: Ni, Wanli, et al.
Publicado: (2025)

Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization
por: Honari, Homayoun, et al.
Publicado: (2024)

Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control
por: Shi, Zhouxing, et al.
Publicado: (2024)

Deep Model Predictive Optimization
por: Sacks, Jacob, et al.
Publicado: (2023)

CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions
por: Yang, Lizhi, et al.
Publicado: (2025)

Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation
por: He, Tairan, et al.
Publicado: (2024)

Align and Filter: Improving Performance in Asynchronous On-Policy RL
por: Honari, Homayoun, et al.
Publicado: (2026)

Learning Multiple Initial Solutions to Optimization Problems
por: Sharony, Elad, et al.
Publicado: (2024)

Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching
por: Wu, Zhen, et al.
Publicado: (2026)

Robust Global-Local Behavior Arbitration via Continuous Command Fusion Under LiDAR Errors
por: Elgouhary, Mohamed, et al.
Publicado: (2026)

On-Policy Distillation of Language Models for Autonomous Vehicle Motion Planning
por: Afsharrad, Amirhossein, et al.
Publicado: (2026)

Refinement of Accelerated Demonstrations via Incremental Iterative Reference Learning Control for Fast Contact-Rich Imitation Learning
por: Yamane, Koki, et al.
Publicado: (2026)

Approximately Optimal Global Planning for Contact-Rich SE(2) Manipulation on a Graph of Reachable Sets
por: Liu, Simin, et al.
Publicado: (2026)