Copertina

ADAPT: Actively Discovering and Adapting to Preferences for any Task

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Patel, Maithili, Puig, Xavier, Desai, Ruta, Mottaghi, Roozbeh, Chernova, Sonia, Truong, Joanne, Rai, Akshara
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Robot Behavior Personalization from Sparse User Feedback
di: Patel, Maithili, et al.
Pubblicazione: (2024)

PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks
di: Chang, Matthew, et al.
Pubblicazione: (2024)

Grounding Multimodal LLMs to Embodied Agents that Ask for Help with Reinforcement Learning
di: Ramrakhya, Ram, et al.
Pubblicazione: (2025)

Situated Instruction Following
di: Min, So Yeon, et al.
Pubblicazione: (2024)

Predicting Routine Object Usage for Proactive Robot Assistance
di: Patel, Maithili, et al.
Pubblicazione: (2023)

Personalized Robotic Object Rearrangement from Scene Context
di: Ramachandruni, Kartik, et al.
Pubblicazione: (2025)

RobotMover: Learning to Move Large Objects From Human Demonstrations
di: Li, Tianyu, et al.
Pubblicazione: (2025)

A Model-Agnostic Approach for Semantically Driven Disambiguation in Human-Robot Interaction
di: Dogan, Fethiye Irmak, et al.
Pubblicazione: (2024)

GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation
di: Khanna, Mukul, et al.
Pubblicazione: (2024)

PrioriTouch: Adapting to User Contact Preferences for Whole-Arm Physical Human-Robot Interaction
di: Madan, Rishabh, et al.
Pubblicazione: (2025)

OminiAdapt: Learning Cross-Task Invariance for Robust and Environment-Aware Robotic Manipulation
di: Wang, Yongxu, et al.
Pubblicazione: (2025)

Solving New Tasks by Adapting Internet Video Knowledge
di: Luo, Calvin, et al.
Pubblicazione: (2025)

GACL: Grounded Adaptive Curriculum Learning with Active Task and Performance Monitoring
di: Wang, Linji, et al.
Pubblicazione: (2025)

AnyTask: an Automated Task and Data Generation Framework for Advancing Sim-to-Real Policy Learning
di: Gong, Ran, et al.
Pubblicazione: (2025)

Online Pareto-Optimal Decision-Making for Complex Tasks using Active Inference
di: Amorese, Peter, et al.
Pubblicazione: (2024)

Reactive Multi-Robot Navigation in Outdoor Environments Through Uncertainty-Aware Active Learning of Human Preference Landscape
di: Huang, Chao, et al.
Pubblicazione: (2024)

Batch Active Learning of Reward Functions from Human Preferences
di: Bıyık, Erdem, et al.
Pubblicazione: (2024)

ADAPT: Benchmarking Commonsense Planning under Unspecified Affordance Constraints
di: Chen, Pei-An, et al.
Pubblicazione: (2026)

Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring
di: Park, Seongheon, et al.
Pubblicazione: (2026)

Adapt Your Body: Mitigating Proprioception Shifts in Imitation Learning
di: Kuang, Fuhang, et al.
Pubblicazione: (2025)

Information-Theoretic Framework for Self-Adapting Model Predictive Controllers
di: Hafez, Wael, et al.
Pubblicazione: (2026)

Adapting Reinforcement Learning for Path Planning in Constrained Parking Scenarios
di: Tao, Feng, et al.
Pubblicazione: (2026)

Moving On, Even When You're Broken: Fail-Active Trajectory Generation via Diffusion Policies Conditioned on Embodiment and Task
di: Briscoe-Martinez, Gilberto G., et al.
Pubblicazione: (2026)

COOPERA: Continual Open-Ended Human-Robot Assistance
di: Ma, Chenyang, et al.
Pubblicazione: (2025)

Dexterity from Smart Lenses: Multi-Fingered Robot Manipulation with In-the-Wild Human Demonstrations
di: Guzey, Irmak, et al.
Pubblicazione: (2025)

GRAPPA: Generalizing and Adapting Robot Policies via Online Agentic Guidance
di: Bucker, Arthur, et al.
Pubblicazione: (2024)

Read the Room: Adapting a Robot's Voice to Ambient and Social Contexts
di: Tuttosi, Paige, et al.
Pubblicazione: (2022)

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection
di: Anwar, Abrar, et al.
Pubblicazione: (2025)

Hierarchical Deep Learning for Intention Estimation of Teleoperation Manipulation in Assembly Tasks
di: Cai, Mingyu, et al.
Pubblicazione: (2024)

Curiosity-Driven Imagination: Discovering Plan Operators and Learning Associated Policies for Open-World Adaptation
di: Lorang, Pierrick, et al.
Pubblicazione: (2025)

Discover, Learn, and Reinforce: Scaling Vision-Language-Action Pretraining with Diverse RL-Generated Trajectories
di: Yang, Rushuai, et al.
Pubblicazione: (2025)

Space-LLaVA: a Vision-Language Model Adapted to Extraterrestrial Applications
di: Foutter, Matthew, et al.
Pubblicazione: (2024)

Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance
di: Zhang, Yang, et al.
Pubblicazione: (2025)

Perceiving, Reasoning, Adapting: A Dual-Layer Framework for VLM-Guided Precision Robotic Manipulation
di: Jia, Qingxuan, et al.
Pubblicazione: (2025)

Learning Human Preferences Over Robot Behavior as Soft Planning Constraints
di: Narcomey, Austin, et al.
Pubblicazione: (2024)

Agentic AI Meets Edge Computing in Autonomous UAV Swarms
di: Nguyen, Thuan Minh, et al.
Pubblicazione: (2026)

Environment-Centric Active Inference
di: Esaki, Kanako, et al.
Pubblicazione: (2024)

Toward Task Capable Active Matter: Learning to Avoid Clogging in Confined Collectives via Collisions
di: Aina, Kehinde O., et al.
Pubblicazione: (2025)

PcLast: Discovering Plannable Continuous Latent States
di: Koul, Anurag, et al.
Pubblicazione: (2023)

AI2-Active Safety: AI-enabled Interaction-aware Active Safety Analysis with Vehicle Dynamics
di: Wu, Keshu, et al.
Pubblicazione: (2025)