Copertina

Aligning Robot and Human Representations

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bobu, Andreea, Peng, Andi, Agrawal, Pulkit, Shah, Julie, Dragan, Anca D.
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Robotics Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Preference-Conditioned Language-Guided Abstraction
di: Peng, Andi, et al.
Pubblicazione: (2024)

Robots That Know What to Ask: Recovering Misaligned Rewards through Targeted Explanations
di: Merker, Helena, et al.
Pubblicazione: (2026)

Goal Inference from Open-Ended Dialog
di: Ma, Rachel, et al.
Pubblicazione: (2024)

Flexible Agent Alignment with Goal Inference from Open-Ended Dialog
di: Ma, Rachel, et al.
Pubblicazione: (2025)

Automatic Environment Shaping is the Next Frontier in RL
di: Park, Younghyo, et al.
Pubblicazione: (2024)

Adaptive Language-Guided Abstraction from Contrastive Explanations
di: Peng, Andi, et al.
Pubblicazione: (2024)

Robot Learning with Super-Linear Scaling
di: Torne, Marcel, et al.
Pubblicazione: (2024)

Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons
di: Liang, Anthony, et al.
Pubblicazione: (2026)

Learning How Hard to Think: Input-Adaptive Allocation of LM Computation
di: Damani, Mehul, et al.
Pubblicazione: (2024)

Bridging the Sim-to-Real Gap for Athletic Loco-Manipulation
di: Fey, Nolan, et al.
Pubblicazione: (2025)

SoftMimic: Learning Compliant Whole-body Control from Examples
di: Margolis, Gabriel B., et al.
Pubblicazione: (2025)

Aligning Robot Navigation Behaviors with Human Intentions and Preferences
di: Karnan, Haresh
Pubblicazione: (2024)

Embodied Red Teaming for Auditing Robotic Foundation Models
di: Karnik, Sathwik, et al.
Pubblicazione: (2024)

A Generalized Acquisition Function for Preference-based Reward Learning
di: Ellis, Evan, et al.
Pubblicazione: (2024)

ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization
di: Zhang, Chen Bo Calvin, et al.
Pubblicazione: (2024)

ROER: Regularized Optimal Experience Replay
di: Li, Changling, et al.
Pubblicazione: (2024)

Learning with Language-Guided State Abstractions
di: Peng, Andi, et al.
Pubblicazione: (2024)

Vegetable Peeling: A Case Study in Constrained Dexterous Manipulation
di: Chen, Tao, et al.
Pubblicazione: (2024)

Learning Force Control for Legged Manipulation
di: Portela, Tifanny, et al.
Pubblicazione: (2024)

Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation
di: Torne, Marcel, et al.
Pubblicazione: (2024)

Few-Shot Task Learning through Inverse Generative Modeling
di: Netanyahu, Aviv, et al.
Pubblicazione: (2024)

Align2Act: Instruction-Tuned Models for Human-Aligned Autonomous Driving
di: Jaisankar, Kanishkha, et al.
Pubblicazione: (2025)

Data-Efficient Learning from Human Interventions for Mobile Robots
di: Peng, Zhenghao, et al.
Pubblicazione: (2025)

Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning
di: Ren, Juntao, et al.
Pubblicazione: (2025)

Don't Blind Your VLA: Aligning Visual Representations for OOD Generalization
di: Kachaev, Nikita, et al.
Pubblicazione: (2025)

Learning Human-Like Badminton Skills for Humanoid Robots
di: Chen, Yeke, et al.
Pubblicazione: (2026)

Masked IRL: LLM-Guided Reward Disambiguation from Demonstrations and Language
di: Hwang, Minyoung, et al.
Pubblicazione: (2025)

QuickLAP: Quick Language-Action Preference Learning for Semi-Autonomous Agents
di: Nader, Jordan Abi, et al.
Pubblicazione: (2025)

Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
di: Myers, Vivek, et al.
Pubblicazione: (2025)

Unsupervised Motion Retargeting for Human-Robot Imitation
di: Annabi, Louis, et al.
Pubblicazione: (2024)

Learning Neuro-symbolic Programs for Language Guided Robot Manipulation
di: Kalithasan, Namasivayam, et al.
Pubblicazione: (2022)

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

A Taxonomy for Evaluating Generalist Robot Manipulation Policies
di: Gao, Jensen, et al.
Pubblicazione: (2025)

Multi-Robot Path Planning Combining Heuristics and Multi-Agent Reinforcement Learning
di: Peng, Shaoming
Pubblicazione: (2023)

Distilling On-device Language Models for Robot Planning with Minimal Human Intervention
di: Ravichandran, Zachary, et al.
Pubblicazione: (2025)

Proximal Control of UAVs with Federated Learning for Human-Robot Collaborative Domains
di: Nobrega, Lucas Nogueira, et al.
Pubblicazione: (2024)

Human-Guided Harm Recovery for Computer Use Agents
di: Li, Christy, et al.
Pubblicazione: (2026)

PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies
di: Zhang, Jesse, et al.
Pubblicazione: (2025)

Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets
di: Zhu, Chuning, et al.
Pubblicazione: (2025)

Tool-as-Interface: Learning Robot Policies from Observing Human Tool Use
di: Chen, Haonan, et al.
Pubblicazione: (2025)